This report is step one of a three step process for data organization in the RESPOND study. The three steps include:

  1. Data processing: investigation and reporting
    • Evaluate the data received from the SEER registries and scantron surveys
    • Understand the the variables, their values, distributions, and identify potential problems
    • From this report we can propose potential solutions on how to handle missing or unknown data, alternative values, or duplicated or problematic records
  2. Data cleaning
    • Implement solutions for data cleaning given decisions from step 1 report
    • Keep data in detailed format
    • Create composite variables
  3. Data creation
    • Output data to an “analysis ready” R data set
    • Output data to a file that facilitates input into SAS


The working dataset used in this report results in a database join of all Scantron Surveys currently processed with all Cancer Registry files received to date from study centers, which were able to be linked based on available identifiers.
- This working dataset was created on 2.8.2020
- The dataset includes 2167 records
- The dataset includes 532 variables
- Variables include: registryid, naaccrrecordversion, tumorrecordnumber, addratdxstate, countyatdx, countyatdxgeocode2000, countyatdxgeocode2010, censustract2000, censustract2010, maritalstatusatdx, race1, race2, race3, race4, race5, spanishhispanicorigin, nhiaderivedhisporigin, ihslink, racenapiia, sex, ageatdiagnosis, dateofbirth, birthplace, birthplacestate, birthplacecountry, censusblockgroup2000, censusblockgroup2010, censustrcertainty2000, censustrcertainty2010, sequencenumbercentral, dateofdiagnosis, primarysite, grade, diagnosticconfirmation, typeofreportingsource, histologictypeicdo3, behaviorcodeicdo3, primarypayeratdx, seersummarystage2000, seersummarystage1977, derivedsummarystage2018, summarystage2018, eodprimarytumor, eodregionalnodes, eodmets, derivedeod2018t, eodextension, derivedeod2018m, eodextensionprostpath, eodlymphnodeinvolv, derivedeod2018n, derivedeod2018stagegroup, regionalnodespositive, regionalnodesexamined, tnmpatht, tnmpathn, tnmpathm, tnmpathstagegroup, tnmclint, tnmclinn, tnmclinm, tnmclinstagegroup, ajcctnmclint, ajcctnmclinn, ajcctnmclinm, ajcctnmclinstagegroup, ajcctnmpatht, ajcctnmpathn, ajcctnmpathm, ajcctnmpathstagegroup, tumormarker2, rxdatesurgery, rxdateradiation, rxdatechemo, rxdatehormone, rxdatebrm, rxdateother, dateinitialrxseer, rxdatedxstgproc, rxsummtreatmentstatus, rxsummsurgprimsite, rxsummscopereglnsur, rxsummsurgothregdis, reasonfornosurgery, rxsummradiation, rxsummsurgradseq, rxsummchemo, rxsummhormone, rxsummbrm, rxsummother, radregionaldosecgy, radregionalrxmodality, rxsummsystemicsurseq, rxsummsurgsite9802, rxsummscopereg9802, rxsummsurgoth9802, dateoflastcontact, vitalstatus, survdateactivefollowup, survdatepresumedalive, survdatedxrecode, causeofdeath, csextension, cslymphnodes, csmetsatdx, cssitespecificfactor7, cssitespecificfactor8, cssitespecificfactor9, cssitespecificfactor10, cssitespecificfactor11, cssitespecificfactor12, cssitespecificfactor13, cssitespecificfactor14, cssitespecificfactor15, cssitespecificfactor1, cssitespecificfactor2, cssitespecificfactor3, cssitespecificfactor4, cssitespecificfactor5, cssitespecificfactor6, derivedajcc6t, derivedajcc6n, derivedajcc6m, derivedajcc6stagegrp, derivedss1977, derivedss2000, comorbidcomplication1, comorbidcomplication2, comorbidcomplication3, comorbidcomplication4, comorbidcomplication5, comorbidcomplication6, comorbidcomplication7, comorbidcomplication8, comorbidcomplication9, comorbidcomplication10, icdrevisioncomorbid, rxdatemostdefinsurg, radboostrxmodality, radboostdosecgy, rxdatesystemic, rxsummtransplntendocr, derivedajcc7t, derivedajcc7n, derivedajcc7m, derivedajcc7stagegrp, derivedseerpathstggrp, derivedseerclinstggrp, derivedseercmbstggrp, derivedseercombinedt, derivedseercombinedn, derivedseercombinedm, secondarydiagnosis1, secondarydiagnosis2, secondarydiagnosis3, secondarydiagnosis4, secondarydiagnosis5, secondarydiagnosis6, secondarydiagnosis7, secondarydiagnosis8, secondarydiagnosis9, secondarydiagnosis10, gleasonpatternsclinical, gleasonpatternspathological, gleasonscoreclinical, gleasonscorepathological, gleasontertiarypattern, gradeclinical, gradepathological, numberofcoresexamined, numberofcorespositive, prostatepathologicalextension, psalabvalue, rid, recno, siteid, surveyid, locationname, respondid, methodology, a1month, a1year, a1not, a2, a3_1, a3_2, a3_3, a3_4, a3_5, a3_6, a3_7, a3_8, a3_9, a3_10, a3_11, a3_12, a3_13, a3_14, a3_15, a3_16, a3_17, a3_18, a3_19, a3_20, a3_21, a3_22, a3_23, a3_24, a3other, a4month, a4year, a5, a5other, a6, a6other, a7, a7other, a8, b1aa, b1ab, b1ac, b1bno, b1ba, b1ba2, b1bb, b1bc, b1cno, b1ca, b1ca2, b1cb, b1cc, b1da, b1db, b1dc, b1ea, b1eb, b1ec, b2, b2a_1, b2a_2, b2a_3, b2a_4, b2a_5, b2a_6, b2a_7, b2b_1, b2b_3, b2b_4, b2b_5, b2b_6, b2b_7, b2cno, b2c_1, b2c_2, b2c_3, b2c_4, b2c_5, b2c_6, b2c_7, b2dno, b2d_1, b2d_3, b2d_4, b2d_5, b2d_6, b2d_7, b2eno, b2e_1, b2e_2, b2e_3, b2e_4, b2e_5, b2e_6, b2e_7, b2fno, b2f_1, b2f_3, b2f_4, b2f_5, b2f_6, b2f_7, b3, b4aa, b4ab, b4ba, b4bb, b4ca, b4cb, b4da, b4db, b4dc, b4ea, b4eb, b4fa, b4fb, b4fc, b4ga, b4gb, b4ha, b4hb, b4ia, b4ib, b4ja, b4jb, b4jc, b4jd, b4ka, b4kb, b4la, b4lb, b4ma, b4mb, b4na, b4nb, b4oa, b4ob, b4pa, b4pb, b4qa, b4qb, b4qother, b5, b5other, c1, c2a1, c2a2, c2a3, c2b1, c2b2, c2b3, c2c1, c2c2, c2c3, c3a1, c3a2, c3a3, c3b1, c3b2, c3b3, c3c1, c3c2, c3c3, c3d1, c3d2, c3d3, c4a1, c4a2, c4a3, c4b1, c4b2, c4b3, c4c1, c4c2, c4c3, c4d1, c4d2, c4d3, c4e1, c4e2, c4e3, d1aa, d1ab, d1ba, d1bb, d1ca, d1cb, d1da, d1db, d1ea, d1eb, d1fa, d1fb, d1ga, d1gb, d2a, d2b, d2c, d2d, d2e, d3a1, d3a2, d3a3, d3b1, d3b2, d3b3, d3c1, d3c2, d3c3, d3d1, d3d2, d3d3, d3e1, d3e2, d3e3, d3f1, d3f2, d3f3, d3g1, d3g2, d3g3, d3h1, d3h2, d3h3, d3i1, d3i2, d3i3, d3j1, d3j2, d3j3, d4a, d4b, d4c, d4d, d4e, d4f, d4g, d4h, d4i, d4j, d4k, d4l, d5a, d5b, d5c, d5d, d5e, d5f, d5g, d5h, d5i, d5j, d5k, e1_1, e1_2, e1_3, e1_4, e1_5, e1_6, e1other, e2aa, e2ab, e2ba, e2bb, e3, e4, e5, e6, e7, e8, e9_1, e9_2, e9_3, e9_4, e9_5, e9_6, e9_7, e9_8, e9_9, e9_10, e10_1, e10_2, e10_3, e10_4, e10_5, e10_6, e10_7, e10_8, e10_3_1, e10_3_2, e10_3_3, e10_4_1, e10_4_2, e10_4_3, e10_5_1, e10_5_2, e10_5_3, e10_5_4, e10_5_5, e11a, e11b, e11c, e11d, e11e, e11f, e12, e13, e14, e15, f1ft, f1in, f1cm, f2lbs, f2kgs, f3, f4, f5, f6, f7, f7age, f7a, f7b, f7bage, g1, g2_1, g2_2, g2_3, g2_4, g2_5, g3, g3other, g4a, g4b, g4c, g5, g5other, g6_1, g6_2, g6_3, g6_4, g6_5, g6_6, g6_7, g6_8, g7, g8, g9a, g9b, g9c, g10, g10other, g11, g12


SITE ID


  siteid <- as.factor(trimws(d[,"siteid"]))
  #new.d.n <- data.frame(new.d.n, siteid) # keep NAACCR coding
  
  # NEED REGISTRY NAMES!!
 
  
  #replace number with names
  
  levels(siteid)[levels(siteid)=="80"] <- "Los Angeles County.80"
  levels(siteid)[levels(siteid)=="30"] <- "Northern CA.30"
  levels(siteid)[levels(siteid)=="10"] <- "Greater CA.10"
  levels(siteid)[levels(siteid)=="60"] <- "Detroit.60"
  levels(siteid)[levels(siteid)=="40"] <- "Louisiana.40"
  levels(siteid)[levels(siteid)=="20"] <- "Georgia.20"
  levels(siteid)[levels(siteid)=="61"] <- "Michigan.61"
  
  
  new.d <- data.frame(new.d, siteid)
  new.d <- apply_labels(new.d, siteid = "Site ID")
  new.d.1 <- data.frame(new.d.1, siteid)
  
  #cro(new.d$siteid) # this is pretty but doesn't show NAs
  #summary(new.d$siteid)
  
  #Using kable function to form a nice table
  
  siteid_count<-count(new.d$siteid)
  colnames(siteid_count)<- c("Registry", "Total")
  kable(siteid_count, format = "simple", align = 'l', caption = "Overview of 7 Registries")
Overview of 7 Registries
Registry Total
Greater CA.10 237
Georgia.20 1087
Northern CA.30 174
Louisiana.40 290
Detroit.60 174
Michigan.61 16
Los Angeles County.80 189


NAACCR RECORD VERSION


  naaccrrecordversion <- as.factor(trimws(d[,"naaccrrecordversion"]))
  
  
  levels(naaccrrecordversion)[levels(naaccrrecordversion)=="180"] <- "2018_Version_18.180"

  
  new.d <- data.frame(new.d, naaccrrecordversion)
  new.d <- apply_labels(new.d, naaccrrecordversion = "naaccr Record Version")
  new.d.1 <- data.frame(new.d.1, naaccrrecordversion)
  
  #cro(new.d$siteid) # this is pretty but doesn't show NAs
  #summary(new.d$siteid)
  
  #Using kable function to form a nice table
  
  naaccrrecordversion<-count(new.d$naaccrrecordversion)
  colnames(naaccrrecordversion)<- c("Version", "Total")
  kable(naaccrrecordversion, format = "simple", align = 'l', caption = "Overview of Version")
Overview of Version
Version Total
2018_Version_18.180 2167


TUMOR RECORD NUMBER


All data

st_css() #IMPORTANT!
  tumorrecordnumber <- as.factor(trimws(d[,"tumorrecordnumber"]))
  
  new.d <- data.frame(new.d, tumorrecordnumber)
  new.d <- apply_labels(new.d, tumorrecordnumber = "tumor record number")
  new.d.1 <- data.frame(new.d.1, tumorrecordnumber)
  
  #Using kable function to form a nice table

  temp.d <- data.frame (new.d.1, tumorrecordnumber)
  summarytools::view(dfSummary(new.d$tumorrecordnumber, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tumorrecordnumber [labelled, factor] tumor record number 1. 0 2. 1 3. 2 4. 3 5. 4
402(18.6%)
1648(76.0%)
102(4.7%)
12(0.6%)
3(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
178(94.2%)
4(2.1%)
5(2.6%)
2(1.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
0(0.0%)
165(94.8%)
6(3.4%)
2(1.1%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
224(94.5%)
2(0.8%)
11(4.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
0(0.0%)
155(89.1%)
15(8.6%)
3(1.7%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
0(0.0%)
278(95.9%)
10(3.4%)
2(0.7%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
0(0.0%)
1029(94.7%)
54(5.0%)
3(0.3%)
1(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tumor_record_number [factor] 1. 0 2. 1 3. 2 4. 3 5. 4
0(0.0%)
15(93.8%)
1(6.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


ADDR AT DX–STATE


All data

st_css() #IMPORTANT!
  addratdxstate <- as.factor(trimws(d[,"addratdxstate"]))
  
  new.d <- data.frame(new.d, addratdxstate)
  new.d <- apply_labels(new.d, addratdxstate = "addr at dx--state")
  new.d.1 <- data.frame(new.d.1, addratdxstate)
  
  #Using kable function to form a nice table

  temp.d <- data.frame (new.d.1, addratdxstate)
  summarytools::view(dfSummary(new.d$addratdxstate, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 addratdxstate [labelled, factor] addr at dx--state 1. CA 2. GA 3. LA 4. MI
600(27.7%)
1087(50.2%)
290(13.4%)
190(8.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
189(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
237(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
0(0.0%)
0(0.0%)
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
0(0.0%)
0(0.0%)
290(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
0(0.0%)
1087(100.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 addr_at_dx_state [factor] 1. CA 2. GA 3. LA 4. MI
0(0.0%)
0(0.0%)
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COUNTY AT DX REPORTED

All data

st_css() #IMPORTANT!
  countyatdx <- as.factor(trimws(d[,"countyatdx"]))
  
  new.d <- data.frame(new.d, countyatdx)
  new.d <- apply_labels(new.d, countyatdx = "addr at dx--state")
  new.d.1 <- data.frame(new.d.1, countyatdx)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, countyatdx)
  summarytools::view(dfSummary(new.d$countyatdx, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 countyatdx [labelled, factor] addr at dx--state 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
75(3.5%)
4(0.2%)
18(0.8%)
10(0.5%)
5(0.2%)
7(0.3%)
2(0.1%)
11(0.5%)
25(1.2%)
5(0.2%)
2(0.1%)
5(0.2%)
143(6.6%)
1(0.0%)
40(1.8%)
11(0.5%)
2(0.1%)
47(2.2%)
5(0.2%)
2(0.1%)
63(2.9%)
1(0.0%)
8(0.4%)
5(0.2%)
3(0.1%)
1(0.0%)
9(0.4%)
32(1.5%)
9(0.4%)
3(0.1%)
2(0.1%)
1(0.0%)
136(6.3%)
1(0.0%)
4(0.2%)
18(0.8%)
5(0.2%)
4(0.2%)
3(0.1%)
7(0.3%)
1(0.0%)
14(0.6%)
4(0.2%)
16(0.7%)
2(0.1%)
2(0.1%)
4(0.2%)
6(0.3%)
1(0.0%)
2(0.1%)
26(1.2%)
1(0.0%)
35(1.6%)
17(0.8%)
1(0.0%)
12(0.6%)
5(0.2%)
2(0.1%)
3(0.1%)
1(0.0%)
3(0.1%)
1(0.0%)
2(0.1%)
45(2.1%)
20(0.9%)
2(0.1%)
1(0.0%)
2(0.1%)
2(0.1%)
9(0.4%)
1(0.0%)
1(0.0%)
10(0.5%)
2(0.1%)
1(0.0%)
2(0.1%)
5(0.2%)
2(0.1%)
7(0.3%)
6(0.3%)
8(0.4%)
1(0.0%)
13(0.6%)
2(0.1%)
6(0.3%)
2(0.1%)
1(0.0%)
5(0.2%)
4(0.2%)
7(0.3%)
1(0.0%)
1(0.0%)
2(0.1%)
43(2.0%)
2(0.1%)
193(8.9%)
6(0.3%)
3(0.1%)
2(0.1%)
10(0.5%)
841(38.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
189(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
73(42.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
39(22.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
60(34.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
11(4.6%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
7(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
10(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
205(86.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
34(19.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
125(71.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15(8.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
1(0.3%)
4(1.4%)
13(4.5%)
9(3.1%)
0(0.0%)
6(2.1%)
2(0.7%)
0(0.0%)
1(0.3%)
1(0.3%)
2(0.7%)
5(1.7%)
4(1.4%)
1(0.3%)
1(0.3%)
3(1.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15(5.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(2.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
39(13.4%)
1(0.3%)
4(1.4%)
0(0.0%)
1(0.3%)
1(0.3%)
2(0.7%)
148(51.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
1(0.1%)
0(0.0%)
4(0.4%)
1(0.1%)
4(0.4%)
1(0.1%)
0(0.0%)
0(0.0%)
23(2.1%)
4(0.4%)
0(0.0%)
0(0.0%)
139(12.8%)
0(0.0%)
0(0.0%)
8(0.7%)
2(0.2%)
6(0.6%)
5(0.5%)
2(0.2%)
63(5.8%)
1(0.1%)
8(0.7%)
5(0.5%)
3(0.3%)
1(0.1%)
3(0.3%)
32(2.9%)
9(0.8%)
3(0.3%)
2(0.2%)
1(0.1%)
3(0.3%)
1(0.1%)
4(0.4%)
3(0.3%)
5(0.5%)
4(0.4%)
3(0.3%)
7(0.6%)
1(0.1%)
14(1.3%)
4(0.4%)
1(0.1%)
2(0.2%)
2(0.2%)
4(0.4%)
6(0.6%)
1(0.1%)
2(0.2%)
26(2.4%)
1(0.1%)
35(3.2%)
17(1.6%)
1(0.1%)
12(1.1%)
5(0.5%)
2(0.2%)
3(0.3%)
1(0.1%)
3(0.3%)
1(0.1%)
2(0.2%)
45(4.1%)
20(1.8%)
2(0.2%)
0(0.0%)
2(0.2%)
2(0.2%)
9(0.8%)
1(0.1%)
1(0.1%)
10(0.9%)
2(0.2%)
1(0.1%)
2(0.2%)
2(0.2%)
2(0.2%)
7(0.6%)
6(0.6%)
8(0.7%)
1(0.1%)
1(0.1%)
2(0.2%)
6(0.6%)
2(0.2%)
1(0.1%)
5(0.5%)
4(0.4%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
4(0.4%)
1(0.1%)
0(0.0%)
6(0.6%)
0(0.0%)
1(0.1%)
8(0.7%)
410(37.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(18.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COUNTY AT DX GEOCODE2000


All data

st_css() #IMPORTANT!
  countyatdxgeocode2000 <- as.factor(trimws(d[,"countyatdxgeocode2000"]))
  
  new.d <- data.frame(new.d, countyatdxgeocode2000)
  new.d <- apply_labels(new.d, countyatdxgeocode2000 = "county at dx geocode 2000")
  new.d.1 <- data.frame(new.d.1, countyatdxgeocode2000)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, countyatdxgeocode2000)
  summarytools::view(dfSummary(new.d$countyatdxgeocode2000, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 countyatdxgeocode2000 [labelled, factor] county at dx geocode 2000 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99
1(0.4%)
1(0.4%)
11(4.5%)
1(0.4%)
2(0.8%)
5(2.0%)
7(2.9%)
1(0.4%)
10(4.1%)
17(6.9%)
2(0.8%)
31(12.7%)
31(12.7%)
51(20.8%)
35(14.3%)
11(4.5%)
2(0.8%)
16(6.5%)
4(1.6%)
6(2.4%)
1922 (88.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99
1(0.4%)
1(0.4%)
11(4.6%)
1(0.4%)
0(0.0%)
0(0.0%)
7(3.0%)
1(0.4%)
10(4.2%)
17(7.2%)
2(0.8%)
31(13.1%)
31(13.1%)
51(21.5%)
35(14.8%)
11(4.6%)
2(0.8%)
16(6.8%)
4(1.7%)
5(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
173 (99.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_dx_geocode_2000 [factor] 1. 103 2. 107 3. 111 4. 113 5. 125 6. 163 7. 19 8. 25 9. 29 10. 59 11. 61 12. 65 13. 67 14. 71 15. 73 16. 77 17. 83 18. 95 19. 97 20. 99
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(28.6%)
4(57.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
9 (56.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COUNTY AT DX GEOCODE2010


All data

st_css() #IMPORTANT!
  countyatdxgeocode2010 <- as.factor(trimws(d[,"countyatdxgeocode2010"]))
  
  new.d <- data.frame(new.d, countyatdxgeocode2010)
  new.d <- apply_labels(new.d, countyatdxgeocode2010 = "county_at_dx_geocode_2010")
  new.d.1 <- data.frame(new.d.1, countyatdxgeocode2010)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, countyatdxgeocode2010)
  summarytools::view(dfSummary(new.d$countyatdxgeocode2010, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 countyatdxgeocode2010 [labelled, factor] county_at_dx_geocode_2010 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
75(3.5%)
4(0.2%)
18(0.8%)
10(0.5%)
5(0.2%)
7(0.3%)
2(0.1%)
11(0.5%)
25(1.2%)
5(0.2%)
2(0.1%)
5(0.2%)
143(6.6%)
1(0.0%)
40(1.8%)
11(0.5%)
2(0.1%)
47(2.2%)
5(0.2%)
2(0.1%)
63(2.9%)
1(0.0%)
8(0.4%)
5(0.2%)
3(0.1%)
1(0.0%)
9(0.4%)
32(1.5%)
9(0.4%)
3(0.1%)
2(0.1%)
1(0.0%)
136(6.3%)
1(0.0%)
4(0.2%)
18(0.8%)
5(0.2%)
4(0.2%)
3(0.1%)
7(0.3%)
1(0.0%)
14(0.6%)
4(0.2%)
16(0.7%)
2(0.1%)
2(0.1%)
4(0.2%)
6(0.3%)
1(0.0%)
2(0.1%)
26(1.2%)
1(0.0%)
35(1.6%)
17(0.8%)
1(0.0%)
12(0.6%)
5(0.2%)
2(0.1%)
3(0.1%)
1(0.0%)
3(0.1%)
1(0.0%)
2(0.1%)
45(2.1%)
20(0.9%)
2(0.1%)
1(0.0%)
2(0.1%)
2(0.1%)
9(0.4%)
1(0.0%)
1(0.0%)
10(0.5%)
2(0.1%)
1(0.0%)
2(0.1%)
5(0.2%)
2(0.1%)
7(0.3%)
6(0.3%)
8(0.4%)
1(0.0%)
13(0.6%)
2(0.1%)
6(0.3%)
2(0.1%)
1(0.0%)
5(0.2%)
4(0.2%)
7(0.3%)
1(0.0%)
1(0.0%)
2(0.1%)
43(2.0%)
2(0.1%)
192(8.9%)
6(0.3%)
3(0.1%)
2(0.1%)
10(0.5%)
841(38.8%)
1 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
188(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1 (0.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
73(42.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
39(22.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
60(34.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
11(4.6%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
7(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
10(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
205(86.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
34(19.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
125(71.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15(8.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
1(0.3%)
4(1.4%)
13(4.5%)
9(3.1%)
0(0.0%)
6(2.1%)
2(0.7%)
0(0.0%)
1(0.3%)
1(0.3%)
2(0.7%)
5(1.7%)
4(1.4%)
1(0.3%)
1(0.3%)
3(1.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15(5.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(2.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
39(13.4%)
1(0.3%)
4(1.4%)
0(0.0%)
1(0.3%)
1(0.3%)
2(0.7%)
148(51.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
1(0.1%)
0(0.0%)
4(0.4%)
1(0.1%)
4(0.4%)
1(0.1%)
0(0.0%)
0(0.0%)
23(2.1%)
4(0.4%)
0(0.0%)
0(0.0%)
139(12.8%)
0(0.0%)
0(0.0%)
8(0.7%)
2(0.2%)
6(0.6%)
5(0.5%)
2(0.2%)
63(5.8%)
1(0.1%)
8(0.7%)
5(0.5%)
3(0.3%)
1(0.1%)
3(0.3%)
32(2.9%)
9(0.8%)
3(0.3%)
2(0.2%)
1(0.1%)
3(0.3%)
1(0.1%)
4(0.4%)
3(0.3%)
5(0.5%)
4(0.4%)
3(0.3%)
7(0.6%)
1(0.1%)
14(1.3%)
4(0.4%)
1(0.1%)
2(0.2%)
2(0.2%)
4(0.4%)
6(0.6%)
1(0.1%)
2(0.2%)
26(2.4%)
1(0.1%)
35(3.2%)
17(1.6%)
1(0.1%)
12(1.1%)
5(0.5%)
2(0.2%)
3(0.3%)
1(0.1%)
3(0.3%)
1(0.1%)
2(0.2%)
45(4.1%)
20(1.8%)
2(0.2%)
0(0.0%)
2(0.2%)
2(0.2%)
9(0.8%)
1(0.1%)
1(0.1%)
10(0.9%)
2(0.2%)
1(0.1%)
2(0.2%)
2(0.2%)
2(0.2%)
7(0.6%)
6(0.6%)
8(0.7%)
1(0.1%)
1(0.1%)
2(0.2%)
6(0.6%)
2(0.2%)
1(0.1%)
5(0.5%)
4(0.4%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
4(0.4%)
1(0.1%)
0(0.0%)
6(0.6%)
0(0.0%)
1(0.1%)
8(0.7%)
410(37.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 county_at_d_geocode_2010 [factor] 1. 1 2. 101 3. 103 4. 105 5. 107 6. 109 7. 11 8. 111 9. 113 10. 115 11. 117 12. 119 13. 121 14. 123 15. 125 16. 127 17. 129 18. 13 19. 131 20. 133 21. 135 22. 137 23. 139 24. 141 25. 145 26. 149 27. 15 28. 151 29. 153 30. 155 31. 157 32. 161 33. 163 34. 167 35. 169 36. 17 37. 171 38. 175 39. 177 40. 179 41. 183 42. 185 43. 189 44. 19 45. 191 46. 193 47. 195 48. 199 49. 201 50. 207 51. 21 52. 213 53. 215 54. 217 55. 219 56. 223 57. 225 58. 23 59. 231 60. 233 61. 235 62. 239 63. 243 64. 245 65. 247 66. 249 67. 25 68. 251 69. 253 70. 255 71. 257 72. 259 73. 261 74. 263 75. 267 76. 269 77. 27 78. 273 79. 275 80. 277 81. 285 82. 289 83. 29 84. 293 85. 297 86. 299 87. 301 88. 303 89. 305 90. 31 91. 311 92. 315 93. 321 94. 33 95. 35 96. 37 97. 39 98. 41 99. 43 100. 45 [ 30 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(18.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CENSUS TRACT 2000


All data

st_css() #IMPORTANT!
  censustract2000 <- as.factor(trimws(d[,"censustract2000"]))
  
  levels(censustract2000)[levels(censustract2000)=="999999"] <- "not_available.999999"

  new.d <- data.frame(new.d, censustract2000)
  new.d <- apply_labels(new.d, censustract2000 = "census_tract_2000")
  new.d.1 <- data.frame(new.d.1, censustract2000)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, censustract2000)
  summarytools::view(dfSummary(new.d$censustract2000, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 censustract2000 [labelled, factor] census_tract_2000 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
599(98.5%)
1559 (71.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
236(99.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
173 (99.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2000 [factor] 1. 160800 2. 166700 3. 255200 4. 30501 5. 521900 6. 524800 7. 538900 8. 541000 9. 561900 10. not_available.999999
1(14.3%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
0(0.0%)
9 (56.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CENSUS TRACT 2010


All data

st_css() #IMPORTANT!
  censustract2010 <- as.factor(trimws(d[,"censustract2010"]))
  
  levels(censustract2010)[levels(censustract2010)=="999999"] <- "not_available.999999"

  new.d <- data.frame(new.d, censustract2010)
  new.d <- apply_labels(new.d, censustract2010 = "census_tract_2010")
  new.d.1 <- data.frame(new.d.1, censustract2010)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, censustract2010)
  summarytools::view(dfSummary(new.d$censustract2010, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 censustract2010 [labelled, factor] census_tract_2010 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
7(0.3%)
3(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
3(0.1%)
3(0.1%)
1(0.0%)
3(0.1%)
1(0.0%)
3(0.1%)
1(0.0%)
2(0.1%)
4(0.2%)
1(0.0%)
2(0.1%)
2(0.1%)
1(0.0%)
1(0.0%)
4(0.2%)
2(0.1%)
8(0.4%)
3(0.1%)
1(0.0%)
1(0.0%)
5(0.2%)
6(0.3%)
2(0.1%)
3(0.1%)
7(0.3%)
9(0.4%)
2(0.1%)
4(0.2%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
4(0.2%)
1(0.0%)
3(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
6(0.3%)
5(0.2%)
2(0.1%)
6(0.3%)
2(0.1%)
2(0.1%)
2(0.1%)
3(0.1%)
5(0.2%)
3(0.1%)
1(0.0%)
2(0.1%)
4(0.2%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
3(0.1%)
3(0.1%)
1(0.0%)
5(0.2%)
1(0.0%)
1(0.0%)
2(0.1%)
4(0.2%)
2(0.1%)
3(0.1%)
2(0.1%)
3(0.1%)
4(0.2%)
2(0.1%)
2(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
5(0.2%)
5(0.2%)
1(0.0%)
1(0.0%)
2(0.1%)
2(0.1%)
2(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
4(0.2%)
1(0.0%)
2(0.1%)
1924(88.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
186(98.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
170(97.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
1(0.4%)
2(0.8%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
225(94.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
2(0.7%)
278(95.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
6(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(0.3%)
3(0.3%)
1(0.1%)
3(0.3%)
1(0.1%)
3(0.3%)
1(0.1%)
2(0.2%)
4(0.4%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
0(0.0%)
4(0.4%)
2(0.2%)
8(0.7%)
3(0.3%)
1(0.1%)
1(0.1%)
5(0.5%)
5(0.5%)
1(0.1%)
3(0.3%)
7(0.6%)
8(0.7%)
2(0.2%)
4(0.4%)
1(0.1%)
0(0.0%)
0(0.0%)
0(0.0%)
4(0.4%)
0(0.0%)
3(0.3%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
6(0.6%)
5(0.5%)
2(0.2%)
6(0.6%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
4(0.4%)
3(0.3%)
1(0.1%)
2(0.2%)
4(0.4%)
1(0.1%)
1(0.1%)
0(0.0%)
0(0.0%)
3(0.3%)
3(0.3%)
1(0.1%)
5(0.5%)
1(0.1%)
1(0.1%)
2(0.2%)
4(0.4%)
2(0.2%)
3(0.3%)
2(0.2%)
3(0.3%)
3(0.3%)
2(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
0(0.0%)
5(0.5%)
5(0.5%)
1(0.1%)
0(0.0%)
2(0.2%)
0(0.0%)
2(0.2%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
0(0.0%)
0(0.0%)
875(80.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tract_2010 [factor] 1. 100 2. 1000 3. 10017 4. 10023 5. 1003 6. 100300 7. 100501 8. 100502 9. 100600 10. 100700 11. 100901 12. 100902 13. 100903 14. 10100 15. 10103 16. 10106 17. 10107 18. 10110 19. 102 20. 10200 21. 10203 22. 10204 23. 10205 24. 10206 25. 10208 26. 10300 27. 10301 28. 10302 29. 10303 30. 10304 31. 10400 32. 10401 33. 10402 34. 10403 35. 104101 36. 10416 37. 10422 38. 10500 39. 105000 40. 10501 41. 10502 42. 10504 43. 10507 44. 10508 45. 10510 46. 10511 47. 10512 48. 10513 49. 10514 50. 10515 51. 10516 52. 10600 53. 10601 54. 10602 55. 10603 56. 10604 57. 10605 58. 10607 59. 10608 60. 106403 61. 106646 62. 10700 63. 10701 64. 10702 65. 10703 66. 10706 67. 10707 68. 10708 69. 10709 70. 10710 71. 10712 72. 10800 73. 10801 74. 10802 75. 10803 76. 10806 77. 10807 78. 10808 79. 10900 80. 10903 81. 10904 82. 10906 83. 109800 84. 1100 85. 11000 86. 11003 87. 110115 88. 110200 89. 1103 90. 110300 91. 110301 92. 110400 93. 110503 94. 110505 95. 110601 96. 110700 97. 110900 98. 11100 99. 11102 100. 11105 [ 1242 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


MARITAL STATUS AT DX


All data

st_css() #IMPORTANT!
  maritalstatusatdx <- as.factor(trimws(d[,"maritalstatusatdx"]))
  
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="1"] <- "Single.1"
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="2"] <- "Married.2"
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="3"] <- "Separated.3"
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="4"] <- "Divorced.4"
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="5"] <- "Widowed.5"
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="6"] <- "Unmarried_or_Domestic_Partner.6"
  levels(maritalstatusatdx)[levels(maritalstatusatdx)=="9"] <- "Unknown.9"


  new.d <- data.frame(new.d, maritalstatusatdx)
  new.d <- apply_labels(new.d, maritalstatusatdx = "marital_status_at_dx")
  new.d.1 <- data.frame(new.d.1, maritalstatusatdx)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, maritalstatusatdx)
  summarytools::view(dfSummary(new.d$maritalstatusatdx, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 maritalstatusatdx [labelled, factor] marital_status_at_dx 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
399(18.4%)
1264(58.3%)
40(1.8%)
176(8.1%)
52(2.4%)
9(0.4%)
227(10.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
53(28.0%)
98(51.9%)
5(2.6%)
17(9.0%)
4(2.1%)
1(0.5%)
11(5.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
44(25.3%)
94(54.0%)
1(0.6%)
12(6.9%)
2(1.1%)
1(0.6%)
20(11.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
40(16.9%)
149(62.9%)
2(0.8%)
13(5.5%)
4(1.7%)
4(1.7%)
25(10.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
44(25.3%)
83(47.7%)
6(3.4%)
21(12.1%)
5(2.9%)
0(0.0%)
15(8.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
60(20.7%)
170(58.6%)
5(1.7%)
25(8.6%)
7(2.4%)
0(0.0%)
23(7.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
155(14.3%)
661(60.8%)
21(1.9%)
86(7.9%)
28(2.6%)
3(0.3%)
133(12.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 marital_status_at_dx [factor] 1. Single.1 2. Married.2 3. Separated.3 4. Divorced.4 5. Widowed.5 6. Unmarried_or_Domestic_Par 7. Unknown.9
3(18.8%)
9(56.2%)
0(0.0%)
2(12.5%)
2(12.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RACE 1


All data

st_css() #IMPORTANT!
  race1 <- as.factor(trimws(d[,"race1"]))
  
  levels(race1)[levels(race1)=="1"] <- "White.1"
  levels(race1)[levels(race1)=="2"] <- "Black.2"
  
  new.d <- data.frame(new.d, race1)
  new.d <- apply_labels(new.d, race1 = "race_1")
  new.d.1 <- data.frame(new.d.1, race1)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, race1)
  summarytools::view(dfSummary(new.d$race1, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [labelled, factor] race_1 1. White.1 2. Black.2
1(0.0%)
2166(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
0(0.0%)
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
0(0.0%)
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
0(0.0%)
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
1(0.1%)
1086(99.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race1 [factor] 1. White.1 2. Black.2
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RACE 2

-Description: Code the patient’s race. Race is coded separately from Spanish/Hispanic Origin [190]. All tumors for the same patient should have the same race codes. If the patient is multiracial, code all races using RACE 2 through RACE 5 [161-164]. For coding instructions and race code history see the current SEER Program Coding and Staging Manual3.

-Reference to Census 2000 definitions for ethnicity and race: http://www.census.gov/prod/cen2000/doc/sf2.pdf (Appendix G). -Rationale: Because race has a significant association with cancer rates and outcomes, a comparison between areas with different racial distributions may require an analysis of race to interpret the findings. The race codes listed correspond closely to race categories used by the U.S. Census Bureau to allow calculation of race-specific incidence rates. The full coding system should be used to allow accurate national comparison and collaboration, even if the state population does not include many of the race categories. - Codes + 01 White + 02 Black + 88 No further race documented


All data

st_css() #IMPORTANT!
  race2 <- as.factor(trimws(d[,"race2"]))
  
  levels(race2)[levels(race2)=="1"] <- "White.1"
  levels(race2)[levels(race2)=="88"] <- "No_further_race.88"
  
  new.d <- data.frame(new.d, race2)
  new.d <- apply_labels(new.d, race2 = "race_2")
  new.d.1 <- data.frame(new.d.1, race2)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, race2)
  summarytools::view(dfSummary(new.d$race2, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [labelled, factor] race_2 1. White.1 2. No_further_race.88
13(0.6%)
2154(99.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
3(1.6%)
186(98.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
8(4.6%)
166(95.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
2(0.8%)
235(99.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
0(0.0%)
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
0(0.0%)
1087(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race2 [factor] 1. White.1 2. No_further_race.88
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RACE 3


All data

st_css() #IMPORTANT!
  race3 <- as.factor(trimws(d[,"race3"]))
  
  levels(race3)[levels(race3)=="1"] <- "White.1"
  levels(race3)[levels(race3)=="88"] <- "No_further_race.88"
  
  new.d <- data.frame(new.d, race3)
  new.d <- apply_labels(new.d, race3 = "race_3")
  new.d.1 <- data.frame(new.d.1, race3)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, race3)
  summarytools::view(dfSummary(new.d$race3, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [labelled, factor] race_3 1. No_further_race.88
2167(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
1087(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race3 [factor] 1. No_further_race.88
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RACE 4


All data

st_css() #IMPORTANT!
  race4 <- as.factor(trimws(d[,"race4"]))
  
  levels(race4)[levels(race4)=="1"] <- "White.1"
  levels(race4)[levels(race4)=="88"] <- "No_further_race.88"
  
  new.d <- data.frame(new.d, race4)
  new.d <- apply_labels(new.d, race4 = "race_4")
  new.d.1 <- data.frame(new.d.1, race4)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, race4)
  summarytools::view(dfSummary(new.d$race4, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [labelled, factor] race_4 1. No_further_race.88
2167(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
1087(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race4 [factor] 1. No_further_race.88
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RACE 5


All data

st_css() #IMPORTANT!
  race5 <- as.factor(trimws(d[,"race5"]))
  
  levels(race5)[levels(race5)=="1"] <- "White.1"
  levels(race5)[levels(race5)=="88"] <- "No_further_race.88"
  
  new.d <- data.frame(new.d, race5)
  new.d <- apply_labels(new.d, race5 = "race_5")
  new.d.1 <- data.frame(new.d.1, race5)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, race5)
  summarytools::view(dfSummary(new.d$race5, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [labelled, factor] race_5 1. No_further_race.88
2167(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
1087(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race5 [factor] 1. No_further_race.88
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SPANISH/HISPANIC ORIGIN


All data

st_css() #IMPORTANT!
  spanishhispanicorigin <- as.factor(trimws(d[,"spanishhispanicorigin"]))
  
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="0"] <- "Non_Spanish_Hispanic.0"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="1"] <- "Mexican.1"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="2"] <- "Puerto_Rican.2"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="3"] <- "Cuban.3"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="4"] <- "South_or_Central_American.4)"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="5"] <- "Other_specified.5"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="6"] <- "Spanish_Hispanic_Latino_NOS.6"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="7"] <- "Spanish_surname_only.7"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="8"] <- "Dominican_Republic.8"
  levels(spanishhispanicorigin)[levels(spanishhispanicorigin)=="9"] <- "Unknown.9"

  new.d <- data.frame(new.d, spanishhispanicorigin)
  new.d <- apply_labels(new.d, spanishhispanicorigin = "spanish_hispanic_origin")
  new.d.1 <- data.frame(new.d.1, spanishhispanicorigin)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, spanishhispanicorigin)
  summarytools::view(dfSummary(new.d$spanishhispanicorigin, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 spanishhispanicorigin [labelled, factor] spanish_hispanic_origin 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
2145(99.0%)
1(0.0%)
1(0.0%)
2(0.1%)
6(0.3%)
2(0.1%)
10(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
187(98.9%)
0(0.0%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
172(98.9%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
235(99.2%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
173(99.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
283(97.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
6(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
1079(99.3%)
0(0.0%)
0(0.0%)
1(0.1%)
2(0.2%)
1(0.1%)
4(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 spanish_hispanic_origin [factor] 1. Non_Spanish_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. Dominican_Republic.8 7. Unknown.9
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


NHIA DERIVED HISP ORIGIN


All data

st_css() #IMPORTANT!
  nhiaderivedhisporigin <- as.factor(trimws(d[,"nhiaderivedhisporigin"]))
  
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="0"] <- "Non_Hispanic.0"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="1"] <- "Mexican.1"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="2"] <- "Puerto_Rican.2"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="3"] <- "Cuban.3"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="4"] <- "South_or_Central_American.4)"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="5"] <- "Other_specified.5"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="6"] <- "Spanish_Hispanic_Latino_NOS.6"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="7"] <- "NHIA_surname_match.7"
  levels(nhiaderivedhisporigin)[levels(nhiaderivedhisporigin)=="8"] <- "Dominican_Republic.8"

  new.d <- data.frame(new.d, nhiaderivedhisporigin)
  new.d <- apply_labels(new.d, nhiaderivedhisporigin = "nhia_derived_hisp_origin")
  new.d.1 <- data.frame(new.d.1, nhiaderivedhisporigin)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, nhiaderivedhisporigin)
  summarytools::view(dfSummary(new.d$nhiaderivedhisporigin, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 nhiaderivedhisporigin [labelled, factor] nhia_derived_hisp_origin 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
2152(99.3%)
1(0.0%)
2(0.1%)
2(0.1%)
6(0.3%)
2(0.1%)
2(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
186(98.4%)
0(0.0%)
2(1.1%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
171(98.3%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
1(0.6%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
235(99.2%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
173(99.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
289(99.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
1082(99.5%)
0(0.0%)
0(0.0%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 nhia_derived_hisp_origin [factor] 1. Non_Hispanic.0 2. Cuban.3 3. South_or_Central_American 4. Other_specified.5 5. Spanish_Hispanic_Latino_N 6. NHIA_surname_match.7 7. Dominican_Republic.8
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RACE–NAPIIA(DERIVED API)


All data

st_css() #IMPORTANT!
  racenapiia <- as.factor(trimws(d[,"racenapiia"]))
  
  levels(racenapiia)[levels(racenapiia)=="1"] <- "White.1"
  levels(racenapiia)[levels(racenapiia)=="2"] <- "Black.2"

  new.d <- data.frame(new.d, racenapiia)
  new.d <- apply_labels(new.d, racenapiia = "race_napiia")
  new.d.1 <- data.frame(new.d.1, racenapiia)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, racenapiia)
  summarytools::view(dfSummary(new.d$racenapiia, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 racenapiia [labelled, factor] race_napiia 1. White.1 2. Black.2
1(0.0%)
2166(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
0(0.0%)
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
0(0.0%)
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
0(0.0%)
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
1(0.1%)
1086(99.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 race_napiia [factor] 1. White.1 2. Black.2
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SEX


All data

st_css() #IMPORTANT!
  sex <- as.factor(trimws(d[,"sex"]))
  
  levels(sex)[levels(sex)=="1"] <- "Male.1"
  levels(sex)[levels(sex)=="2"] <- "Female.2"

  new.d <- data.frame(new.d, sex)
  new.d <- apply_labels(new.d, sex = "sex")
  new.d.1 <- data.frame(new.d.1, sex)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, sex)
  summarytools::view(dfSummary(new.d$sex, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 sex [labelled, factor] sex 1. Male.1 2. Female.2
2166(100.0%)
1(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
189(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
174(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
237(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
174(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
290(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
1086(99.9%)
1(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sex [factor] 1. Male.1 2. Female.2
16(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AGE AT DIAGNOSIS


All data

st_css() #IMPORTANT!
  ageatdiagnosis <- as.factor(trimws(d[,"ageatdiagnosis"]))
  
  new.d <- data.frame(new.d, ageatdiagnosis)
  new.d <- apply_labels(new.d, ageatdiagnosis = "age_at_diagnosis")
  new.d.1 <- data.frame(new.d.1, ageatdiagnosis)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, ageatdiagnosis)
  summarytools::view(dfSummary(new.d$ageatdiagnosis, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ageatdiagnosis [labelled, factor] age_at_diagnosis 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
2(0.1%)
2(0.1%)
6(0.3%)
8(0.4%)
8(0.4%)
16(0.7%)
14(0.6%)
22(1.0%)
28(1.3%)
36(1.7%)
51(2.4%)
45(2.1%)
61(2.8%)
79(3.6%)
81(3.7%)
74(3.4%)
94(4.3%)
122(5.6%)
116(5.4%)
106(4.9%)
108(5.0%)
104(4.8%)
110(5.1%)
142(6.6%)
140(6.5%)
117(5.4%)
96(4.4%)
99(4.6%)
66(3.0%)
54(2.5%)
55(2.5%)
46(2.1%)
42(1.9%)
3(0.1%)
1(0.0%)
3(0.1%)
4(0.2%)
1(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
7(3.7%)
0(0.0%)
4(2.1%)
2(1.1%)
5(2.6%)
1(0.5%)
7(3.7%)
9(4.8%)
7(3.7%)
6(3.2%)
5(2.6%)
17(9.0%)
13(6.9%)
9(4.8%)
10(5.3%)
8(4.2%)
15(7.9%)
13(6.9%)
3(1.6%)
7(3.7%)
13(6.9%)
6(3.2%)
4(2.1%)
5(2.6%)
5(2.6%)
2(1.1%)
1(0.5%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
2(1.1%)
0(0.0%)
1(0.6%)
3(1.7%)
1(0.6%)
4(2.3%)
2(1.1%)
2(1.1%)
3(1.7%)
4(2.3%)
6(3.4%)
11(6.3%)
7(4.0%)
10(5.7%)
7(4.0%)
9(5.2%)
6(3.4%)
7(4.0%)
13(7.5%)
10(5.7%)
12(6.9%)
10(5.7%)
11(6.3%)
9(5.2%)
3(1.7%)
3(1.7%)
6(3.4%)
3(1.7%)
4(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
3(1.3%)
1(0.4%)
1(0.4%)
4(1.7%)
6(2.5%)
10(4.2%)
7(3.0%)
7(3.0%)
13(5.5%)
10(4.2%)
9(3.8%)
6(2.5%)
18(7.6%)
15(6.3%)
8(3.4%)
14(5.9%)
9(3.8%)
10(4.2%)
13(5.5%)
16(6.8%)
8(3.4%)
7(3.0%)
12(5.1%)
10(4.2%)
7(3.0%)
4(1.7%)
3(1.3%)
4(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
3(1.7%)
0(0.0%)
1(0.6%)
1(0.6%)
3(1.7%)
3(1.7%)
2(1.1%)
5(2.9%)
3(1.7%)
6(3.4%)
6(3.4%)
9(5.2%)
4(2.3%)
12(6.9%)
14(8.0%)
11(6.3%)
12(6.9%)
7(4.0%)
5(2.9%)
6(3.4%)
4(2.3%)
4(2.3%)
9(5.2%)
8(4.6%)
4(2.3%)
6(3.4%)
4(2.3%)
7(4.0%)
2(1.1%)
4(2.3%)
2(1.1%)
0(0.0%)
3(1.7%)
2(1.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
1(0.3%)
3(1.0%)
3(1.0%)
2(0.7%)
4(1.4%)
3(1.0%)
10(3.4%)
7(2.4%)
8(2.8%)
13(4.5%)
13(4.5%)
5(1.7%)
11(3.8%)
19(6.6%)
14(4.8%)
15(5.2%)
19(6.6%)
15(5.2%)
12(4.1%)
25(8.6%)
14(4.8%)
18(6.2%)
9(3.1%)
11(3.8%)
7(2.4%)
8(2.8%)
7(2.4%)
4(1.4%)
9(3.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
4(0.4%)
2(0.2%)
4(0.4%)
7(0.6%)
8(0.7%)
6(0.6%)
16(1.5%)
17(1.6%)
21(1.9%)
20(1.8%)
35(3.2%)
35(3.2%)
32(2.9%)
38(3.5%)
50(4.6%)
54(5.0%)
52(4.8%)
49(4.5%)
52(4.8%)
57(5.2%)
60(5.5%)
74(6.8%)
81(7.5%)
68(6.3%)
54(5.0%)
50(4.6%)
34(3.1%)
28(2.6%)
26(2.4%)
29(2.7%)
19(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 age_at_diagnosis [factor] 1. 26 2. 38 3. 40 4. 41 5. 42 6. 43 7. 44 8. 45 9. 46 10. 47 11. 48 12. 49 13. 50 14. 51 15. 52 16. 53 17. 54 18. 55 19. 56 20. 57 21. 58 22. 59 23. 60 24. 61 25. 62 26. 63 27. 64 28. 65 29. 66 30. 67 31. 68 32. 69 33. 70 34. 71 35. 72 36. 73 37. 74 38. 75 39. 76 40. 77 41. 78 42. 79
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
2(12.5%)
0(0.0%)
2(12.5%)
2(12.5%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DATE OF BIRTH


All data

st_css() #IMPORTANT!
  dateofbirth <- trimws(d[,"dateofbirth"])

  new.d <- data.frame(new.d, dateofbirth)
  new.d <- apply_labels(new.d, dateofbirth = "date_of_birth")
  #new.d.1 <- data.frame(new.d.1, dateofbirth)
  
  #Using kable function to form a nice table
  temp.d <- data.frame (new.d.1, dateofbirth)
  summarytools::view(dfSummary(new.d$dateofbirth, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 dateofbirth [labelled, character] date_of_birth 1. 195012 2. 195405 3. 195411 4. 19550799 5. 194701 6. 194901 7. 194908 8. 19490904 9. 194911 10. 19500117 11. 195105 12. 195201 13. 195202 14. 195308 15. 195408 16. 195412 17. 19560199 18. 195605 19. 19570999 20. 196003 21. 196106 22. 196207 23. 194206 24. 19430499 25. 194312 26. 194508 27. 19461031 28. 194702 29. 194811 30. 19490415 31. 194905 32. 19490699 33. 19490999 34. 194910 35. 195001 36. 195002 37. 195005 38. 19500629 39. 195007 40. 195009 41. 195101 42. 195110 43. 19520899 44. 195307 45. 19530728 46. 195310 47. 19531204 48. 195406 49. 195410 50. 195509 51. 195511 52. 195603 53. 19570129 54. 195708 55. 19580999 56. 195810 57. 195901 58. 196006 59. 196007 60. 196008 61. 19600899 62. 196011 63. 196012 64. 19410519 65. 19410521 66. 194106 67. 19410806 68. 194201 69. 19420224 70. 19420330 71. 19420607 72. 194208 73. 19421201 74. 194303 75. 19431009 76. 19440531 77. 19440712 78. 194408 79. 19441212 80. 194501 81. 194504 82. 194506 83. 19450824 84. 194509 85. 194511 86. 19451128 87. 194601 88. 19460129 89. 19460227 90. 194606 91. 194607 92. 19460729 93. 194609 94. 19460910 95. 194610 96. 194611 97. 19461105 98. 19461121 99. 194612 100. 19470299 [ 1685 others ]
5(0.2%)
5(0.2%)
5(0.2%)
5(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
4(0.2%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
3(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
2(0.1%)
1878(86.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 195201 2. 195012 3. 195310 4. 195408 5. 195411 6. 195509 7. 194201 8. 194206 9. 194303 10. 194408 11. 194511 12. 194606 13. 194610 14. 194612 15. 194702 16. 194703 17. 194805 18. 194901 19. 194908 20. 194910 21. 195002 22. 195004 23. 195005 24. 195007 25. 195101 26. 195105 27. 195203 28. 195405 29. 195412 30. 195504 31. 195603 32. 195608 33. 195609 34. 195806 35. 195807 36. 195901 37. 196003 38. 196102 39. 196106 40. 196306 41. 196510 42. 196605 43. 193909 44. 194012 45. 194204 46. 194209 47. 194308 48. 194312 49. 194401 50. 194403 [ 90 others ]
4(2.1%)
3(1.6%)
3(1.6%)
3(1.6%)
3(1.6%)
3(1.6%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
90(47.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 19520317 2. 19580103 3. 19370416 4. 19380429 5. 19410710 6. 19411231 7. 19420224 8. 19420414 9. 19420807 10. 19420913 11. 19421122 12. 19421201 13. 19421223 14. 19421231 15. 19430525 16. 19431111 17. 19431119 18. 19440124 19. 19440223 20. 19440512 21. 19450529 22. 19450617 23. 19451025 24. 19451106 25. 19451119 26. 19460307 27. 19460506 28. 19460705 29. 19460821 30. 19460918 31. 19461014 32. 19461121 33. 19461209 34. 19470207 35. 19470321 36. 19470508 37. 19470610 38. 19470701 39. 19470914 40. 19471003 41. 19471019 42. 19471023 43. 19471208 44. 19471221 45. 19480402 46. 19480506 47. 19480615 48. 19480818 49. 19481123 50. 19481213 [ 122 others ]
2(1.1%)
2(1.1%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
122(70.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 194701 2. 194911 3. 195202 4. 195308 5. 195405 6. 195511 7. 195605 8. 196007 9. 196011 10. 196207 11. 194106 12. 194208 13. 194312 14. 194506 15. 194508 16. 194509 17. 194607 18. 194609 19. 194706 20. 194710 21. 194802 22. 194807 23. 194811 24. 194901 25. 194905 26. 194908 27. 194909 28. 195001 29. 195003 30. 195009 31. 195012 32. 195105 33. 195106 34. 195107 35. 195108 36. 195110 37. 195303 38. 195307 39. 195402 40. 195406 41. 195410 42. 195411 43. 195412 44. 195505 45. 195606 46. 195702 47. 195705 48. 195708 49. 195711 50. 195810 [ 114 others ]
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
3(1.3%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
2(0.8%)
127(53.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 19550799 2. 19570999 3. 19430499 4. 19490999 5. 19520899 6. 19560199 7. 19580999 8. 19600899 9. 19470299 10. 19480499 11. 19490699 12. 19490799 13. 19500699 14. 19540199 15. 19540699 16. 19540999 17. 19550199 18. 19550899 19. 19551299 20. 19560399 21. 19561199 22. 19570399 23. 19580299 24. 19581299 25. 19601099 26. 19610899 27. 19631099 28. 19641099 29. 19390599 30. 19390899 31. 19400699 32. 19401299 33. 19410799 34. 19410899 35. 19420899 36. 19430199 37. 19430399 38. 19430699 39. 19430799 40. 19431299 41. 19440299 42. 19440499 43. 19440699 44. 19440899 45. 19440999 46. 19450199 47. 19450299 48. 19450599 49. 19450699 50. 19451099 [ 86 others ]
4(2.3%)
4(2.3%)
3(1.7%)
3(1.7%)
3(1.7%)
3(1.7%)
3(1.7%)
3(1.7%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
2(1.1%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
86(49.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 19491227 2. 19500924 3. 19510617 4. 19531002 5. 19551108 6. 19591227 7. 19401108 8. 19401209 9. 19410407 10. 19410521 11. 19410614 12. 19410704 13. 19410716 14. 19411002 15. 19411013 16. 19411212 17. 19420723 18. 19421208 19. 19430110 20. 19430124 21. 19430516 22. 19430705 23. 19430804 24. 19431103 25. 19440424 26. 19440615 27. 19440626 28. 19440719 29. 19440918 30. 19440925 31. 19441014 32. 19441228 33. 19450118 34. 19450319 35. 19450502 36. 19450630 37. 19450714 38. 19450820 39. 19450824 40. 19450921 41. 19451016 42. 19451105 43. 19451204 44. 19451226 45. 19460129 46. 19460131 47. 19460227 48. 19460309 49. 19460620 50. 19460802 [ 234 others ]
2(0.7%)
2(0.7%)
2(0.7%)
2(0.7%)
2(0.7%)
2(0.7%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
234(80.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 19461031 2. 19490904 3. 19500117 4. 19410519 5. 19410806 6. 19420330 7. 19420607 8. 19431009 9. 19440531 10. 19440712 11. 19441212 12. 19451128 13. 19460729 14. 19460910 15. 19461105 16. 19470613 17. 19480104 18. 19480310 19. 19480403 20. 19480519 21. 19480709 22. 19480812 23. 19480915 24. 19481230 25. 19490221 26. 19490415 27. 19490504 28. 19490623 29. 19490802 30. 19490805 31. 19500102 32. 19500308 33. 19500607 34. 19500629 35. 19501218 36. 19510212 37. 19510303 38. 19510408 39. 19510508 40. 19510813 41. 19520118 42. 19520225 43. 19520314 44. 19520716 45. 19521012 46. 19530821 47. 19531204 48. 19540208 49. 19540510 50. 19540531 [ 965 others ]
3(0.3%)
3(0.3%)
3(0.3%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
2(0.2%)
984(90.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_birth [character] 1. 19450499 2. 19480999 3. 19490299 4. 19490699 5. 19501299 6. 19520499 7. 19530899 8. 19540299 9. 19550799 10. 19560199 11. 19561099 12. 19561299 13. 19591099 14. 19600599 15. 19620499 16. 19660799
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


BIRTHPLACE



All data

st_css() #IMPORTANT!
  birthplace <- as.factor(trimws(d[,"birthplace"]))
  # recode for interpretable birthplace
  #new.d.n <- data.frame(new.d.n, birthplace) # keep NAACCR coding
  levels(birthplace)[levels(birthplace)=="999"] <- "Unkown.999"
  levels(birthplace)[levels(birthplace)=="97"] <- "Sonoma (Greater California).97"
  levels(birthplace)[levels(birthplace)=="75"] <- "Kiowa.75"
  levels(birthplace)[levels(birthplace)=="73"] <- "Ouachita.73"
  levels(birthplace)[levels(birthplace)=="5"] <- "Bristol.5"
  levels(birthplace)[levels(birthplace)=="33"] <- "Burke.33"
  levels(birthplace)[levels(birthplace)=="11"] <- "Cayuga.11"
  levels(birthplace)[levels(birthplace)=="1"] <- "Appling.1"
  
  
  new.d <- data.frame(new.d, birthplace)
  new.d <- apply_labels(new.d, birthplace = "Place of birth")
  
  temp.d <- data.frame (new.d.1, birthplace)
  summarytools::view(dfSummary(new.d$birthplace, style = 'grid',
                               max.distinct.values = 100, plain.ascii =   FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace [labelled, factor] Place of birth 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater Californi 14. Unkown.999
96(15.8%)
1(0.2%)
2(0.3%)
1(0.2%)
1(0.2%)
44(7.3%)
5(0.8%)
3(0.5%)
3(0.5%)
1(0.2%)
17(2.8%)
1(0.2%)
1(0.2%)
430(71.0%)
1561 (72.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater California).97 14. Unkown.999 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater Californi 14. Unkown.999
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
164(97.6%)
6 (3.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater California).97 14. Unkown.999 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater Californi 14. Unkown.999
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
43(95.6%)
129 (74.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater Californi 14. Unkown.999
8(6.5%)
1(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.8%)
0(0.0%)
1(0.8%)
16(12.9%)
0(0.0%)
0(0.0%)
97(78.2%)
166 (57.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater Californi 14. Unkown.999
85(33.5%)
0(0.0%)
2(0.8%)
1(0.4%)
1(0.4%)
44(17.3%)
4(1.6%)
2(0.8%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
114(44.9%)
833 (76.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. 0 2. 100 3. Cayuga.11 4. 244 5. 25 6. Burke.33 7. 35 8. 37 9. 41 10. 43 11. Ouachita.73 12. 87 13. Sonoma (Greater Californi 14. Unkown.999
1(6.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(13.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
12(80.0%)
1 (6.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


BIRTHPLACE–STATE



All data

st_css() #IMPORTANT!
  birthplacestate <- as.factor(trimws(d[,"birthplacestate"]))
  # recode for interpretable birthplace state
  #new.d.n <- data.frame(new.d.n, birthplacestate) # keep NAACCR coding
  levels(birthplacestate)[levels(birthplacestate)=="XX"] <- "Unknown.XX"
  levels(birthplacestate)[levels(birthplacestate)=="YY"] <- "Unknown.YY"
  levels(birthplacestate)[levels(birthplacestate)=="ZZ"] <- "Unknown.ZZ"

  new.d <- data.frame(new.d, birthplacestate)
  new.d <- apply_labels(new.d, birthplacestate = "State of birth")

temp.d <- data.frame (new.d.1, birthplacestate)
summarytools::view(dfSummary(new.d$birthplacestate, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 birthplacestate [labelled, factor] State of birth 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
3(0.1%)
17(0.8%)
4(0.2%)
1(0.0%)
77(3.6%)
1(0.0%)
2(0.1%)
1(0.0%)
14(0.6%)
223(10.3%)
1(0.0%)
1(0.0%)
5(0.2%)
5(0.2%)
4(0.2%)
2(0.1%)
80(3.7%)
1(0.0%)
18(0.8%)
3(0.1%)
10(0.5%)
3(0.1%)
2(0.1%)
9(0.4%)
5(0.2%)
3(0.1%)
3(0.1%)
10(0.5%)
2(0.1%)
10(0.5%)
383(17.7%)
1(0.0%)
6(0.3%)
3(0.1%)
38(1.8%)
3(0.1%)
1213(56.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
1(0.5%)
2(1.1%)
1(0.5%)
0(0.0%)
27(14.3%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
2(1.1%)
1(0.5%)
2(1.1%)
0(0.0%)
2(1.1%)
0(0.0%)
2(1.1%)
1(0.5%)
2(1.1%)
1(0.5%)
1(0.5%)
3(1.6%)
2(1.1%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
5(2.6%)
12(6.3%)
0(0.0%)
0(0.0%)
3(1.6%)
8(4.2%)
2(1.1%)
101(53.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
0(0.0%)
2(1.1%)
2(1.1%)
1(0.6%)
14(8.0%)
1(0.6%)
0(0.0%)
0(0.0%)
3(1.7%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
22(12.6%)
1(0.6%)
1(0.6%)
0(0.0%)
5(2.9%)
0(0.0%)
114(65.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
2(0.8%)
2(0.8%)
1(0.4%)
0(0.0%)
33(13.9%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
6(2.5%)
1(0.4%)
5(2.1%)
1(0.4%)
3(1.3%)
0(0.0%)
0(0.0%)
2(0.8%)
1(0.4%)
1(0.4%)
1(0.4%)
4(1.7%)
0(0.0%)
2(0.8%)
8(3.4%)
0(0.0%)
1(0.4%)
0(0.0%)
16(6.8%)
0(0.0%)
143(60.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
7(4.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
11(6.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
155(89.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
68(23.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
20(6.9%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
196(67.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
0(0.0%)
10(0.9%)
0(0.0%)
0(0.0%)
3(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
10(0.9%)
221(20.3%)
0(0.0%)
0(0.0%)
2(0.2%)
3(0.3%)
2(0.2%)
0(0.0%)
3(0.3%)
0(0.0%)
2(0.2%)
0(0.0%)
3(0.3%)
2(0.2%)
1(0.1%)
3(0.3%)
0(0.0%)
1(0.1%)
1(0.1%)
5(0.5%)
0(0.0%)
2(0.2%)
309(28.4%)
0(0.0%)
4(0.4%)
0(0.0%)
8(0.7%)
1(0.1%)
491(45.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_state [factor] 1. AK 2. AL 3. AR 4. AZ 5. CA 6. CD 7. CT 8. DE 9. FL 10. GA 11. GU 12. IA 13. IL 14. IN 15. KS 16. KY 17. LA 18. MA 19. MI 20. MO 21. MS 22. NC 23. NJ 24. NY 25. OH 26. OK 27. PA 28. SC 29. TN 30. TX 31. US 32. UT 33. VA 34. WA 35. Unknown.XX 36. Unknown.YY 37. Unknown.ZZ
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(12.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
13(81.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


BIRTHPLACE–COUNTRY



All data

st_css() #IMPORTANT!}
  birthplacecountry <- as.factor(trimws(d[,"birthplacecountry"]))
  #new.d.n <- data.frame(new.d.n, birthplacecountry) # keep NAACCR coding
  # recode for interpretable birthplace country
  levels(birthplacecountry)[levels(birthplacecountry)=="ZZU"] <- "Unknown.ZZU"
  levels(birthplacecountry)[levels(birthplacecountry)=="ZZF"] <- "Africa.ZZF"
  levels(birthplacecountry)[levels(birthplacecountry)=="ZZX"] <- "Non_US.ZZX"
  levels(birthplacecountry)[levels(birthplacecountry)=="ZZE"] <- "Europe NOS.ZZE"
  levels(birthplacecountry)[levels(birthplacecountry)=="ZZC"] <- "Central American NOS.ZZC"
  levels(birthplacecountry)[levels(birthplacecountry)=="ZWE"] <- "Zimbabwe.ZWE"
  levels(birthplacecountry)[levels(birthplacecountry)=="XWF"] <- "West Africa, NOS (French Africa, NOS).XWF"
  levels(birthplacecountry)[levels(birthplacecountry)=="WSM"] <- "Samoa.WSM"
  levels(birthplacecountry)[levels(birthplacecountry)=="VIR"] <- "Virgin Islands (U.S.).VIR"
  levels(birthplacecountry)[levels(birthplacecountry)=="USA"] <- "United States of America (the).USA"
  levels(birthplacecountry)[levels(birthplacecountry)=="UGA"] <- "Uganda.UGA"
  levels(birthplacecountry)[levels(birthplacecountry)=="TTO"] <- "Trinidad and Tobago.TTO"
  levels(birthplacecountry)[levels(birthplacecountry)=="SOM"] <- "Somalia.SOM"
  levels(birthplacecountry)[levels(birthplacecountry)=="SLE"] <- "Sierra Leone.SLE"
  levels(birthplacecountry)[levels(birthplacecountry)=="SEN"] <- "Senegal.SEN"
  levels(birthplacecountry)[levels(birthplacecountry)=="RWA"] <- "Rwanda.RWA"
  levels(birthplacecountry)[levels(birthplacecountry)=="PRT"] <- "Portugal.PRT"
  levels(birthplacecountry)[levels(birthplacecountry)=="PRI"] <- "Puerto Rico.PRI"
  levels(birthplacecountry)[levels(birthplacecountry)=="PAN"] <- "Panama.PAN"
  levels(birthplacecountry)[levels(birthplacecountry)=="NIC"] <- "Nicaragua.NIC"
  levels(birthplacecountry)[levels(birthplacecountry)=="NGA"] <- "Nigeria.NGA"
  levels(birthplacecountry)[levels(birthplacecountry)=="NER"] <- "Niger.NER"
  levels(birthplacecountry)[levels(birthplacecountry)=="MEX"] <- "Mexico.MEX"
  levels(birthplacecountry)[levels(birthplacecountry)=="LCA"] <- "Saint Lucia.LCA"
  levels(birthplacecountry)[levels(birthplacecountry)=="LBR"] <- "Liberia.LBR"
  levels(birthplacecountry)[levels(birthplacecountry)=="JPN"] <- "Japan.JPN"
  levels(birthplacecountry)[levels(birthplacecountry)=="JAM"] <- "Jamaica.JAM"
  levels(birthplacecountry)[levels(birthplacecountry)=="HUN"] <- "Hungary.HUN"
  levels(birthplacecountry)[levels(birthplacecountry)=="HTI"] <- "Haiti.HTI"
  levels(birthplacecountry)[levels(birthplacecountry)=="GUY"] <- "Guyana.GUY"
  levels(birthplacecountry)[levels(birthplacecountry)=="GUM"] <- "Guam.GUM"
  levels(birthplacecountry)[levels(birthplacecountry)=="GRD"] <- "Grenada.GRD"
  levels(birthplacecountry)[levels(birthplacecountry)=="GMB"] <- "Gambia (the).GMB"
  levels(birthplacecountry)[levels(birthplacecountry)=="GHA"] <- "Ghana.GHA"
  levels(birthplacecountry)[levels(birthplacecountry)=="GEO"] <- "Georgia.GEO"
  levels(birthplacecountry)[levels(birthplacecountry)=="GBR"] <- "United Kingdom of Great Britain and Northern Ireland (the).GBR"
  levels(birthplacecountry)[levels(birthplacecountry)=="FRA"] <- "France.FRA"
  levels(birthplacecountry)[levels(birthplacecountry)=="ETH"] <- "Ethiopia.ETH"
  levels(birthplacecountry)[levels(birthplacecountry)=="ERI"] <- "Eritrea.ERI"
  levels(birthplacecountry)[levels(birthplacecountry)=="ENG"] <- "England.ENG"
  levels(birthplacecountry)[levels(birthplacecountry)=="DOM"] <- "Dominican Republic (the).DOM"
  levels(birthplacecountry)[levels(birthplacecountry)=="DEU"] <- "Germany.DEU"
  levels(birthplacecountry)[levels(birthplacecountry)=="CUB"] <- "Cuba.CUB"
  levels(birthplacecountry)[levels(birthplacecountry)=="CRI"] <- "Costa Rica.CRI"
  levels(birthplacecountry)[levels(birthplacecountry)=="COG"] <- "Congo (the).COG"
  levels(birthplacecountry)[levels(birthplacecountry)=="CMR"] <- "Cameroon.CMR"
  levels(birthplacecountry)[levels(birthplacecountry)=="CIV"] <- "Cote d'Ivoire.CIV"
  levels(birthplacecountry)[levels(birthplacecountry)=="CAN"] <- "Canada.CAN"
  levels(birthplacecountry)[levels(birthplacecountry)=="BRB"] <- "Barbados.BRB"
  levels(birthplacecountry)[levels(birthplacecountry)=="BLZ"] <- "Belize.BLZ"
  levels(birthplacecountry)[levels(birthplacecountry)=="BHS"] <- "Bahamas (the).BHS"
  levels(birthplacecountry)[levels(birthplacecountry)=="ARE"] <- "United Arab Emirates (the).ARE"

  
  new.d <- data.frame(new.d, birthplacecountry)
  new.d <- apply_labels(new.d, birthplacecountry = "Country of birth")
  
temp.d <- data.frame (new.d.1, birthplacecountry)
summarytools::view(dfSummary(new.d$birthplacecountry, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 birthplacecountry [labelled, factor] Country of birth 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
1(0.0%)
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
9(0.4%)
1(0.0%)
1(0.0%)
10(0.5%)
1(0.0%)
1(0.0%)
1(0.0%)
2(0.1%)
911(42.0%)
1(0.0%)
1214(56.0%)
1(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
2(1.1%)
0(0.0%)
1(0.5%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
77(40.7%)
1(0.5%)
102(54.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
0(0.0%)
0(0.0%)
1(0.6%)
2(1.1%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
54(31.0%)
0(0.0%)
114(65.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
4(1.7%)
0(0.0%)
0(0.0%)
9(3.8%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
78(32.9%)
0(0.0%)
143(60.3%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
19(10.9%)
0(0.0%)
155(89.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
93(32.1%)
0(0.0%)
196(67.6%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
1(0.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
0(0.0%)
3(0.3%)
1(0.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.1%)
0(0.0%)
587(54.0%)
0(0.0%)
491(45.2%)
1(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 birthplace_country [factor] 1. Bahamas (the).BHS 2. Belize.BLZ 3. Canada.CAN 4. Cameroon.CMR 5. Cuba.CUB 6. England.ENG 7. Ethiopia.ETH 8. France.FRA 9. Georgia.GEO 10. Ghana.GHA 11. Gambia (the).GMB 12. Guam.GUM 13. Haiti.HTI 14. Jamaica.JAM 15. KEN 16. Niger.NER 17. Nigeria.NGA 18. Nicaragua.NIC 19. Panama.PAN 20. Senegal.SEN 21. Trinidad and Tobago.TTO 22. United States of America 23. Africa.ZZF 24. Unknown.ZZU 25. Non_US.ZZX
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(18.8%)
0(0.0%)
13(81.2%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CENSUS BLOCK GROUP 2000


All data

st_css() #IMPORTANT!
  censusblockgroup2000 <- as.factor(trimws(d[,"censusblockgroup2000"]))

  new.d <- data.frame(new.d, censusblockgroup2000)
  new.d <- apply_labels(new.d, censusblockgroup2000 = "census_block_group_2000")

temp.d <- data.frame (new.d.1, censusblockgroup2000)
summarytools::view(dfSummary(new.d$censusblockgroup2000, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 censusblockgroup2000 [labelled, factor] census_block_group_2000 1. 1
1(100.0%)
2166 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2000 [factor] 1. 1
1(100.0%)
15 (93.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CENSUS BLOCK GROUP 2010


All data

st_css() #IMPORTANT!
  censusblockgroup2010 <- as.factor(trimws(d[,"censusblockgroup2010"]))

  new.d <- data.frame(new.d, censusblockgroup2010)
  new.d <- apply_labels(new.d, censusblockgroup2010 = "census_block_group_2010")

temp.d <- data.frame (new.d.1, censusblockgroup2010)
summarytools::view(dfSummary(new.d$censusblockgroup2010, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 censusblockgroup2010 [labelled, factor] census_block_group_2010 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
672(34.8%)
527(27.3%)
364(18.9%)
240(12.4%)
62(3.2%)
7(0.4%)
1(0.1%)
1(0.1%)
55(2.9%)
238 (11.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
61(32.4%)
63(33.5%)
40(21.3%)
17(9.0%)
4(2.1%)
2(1.1%)
1(0.5%)
0(0.0%)
0(0.0%)
1 (0.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
67(38.5%)
52(29.9%)
37(21.3%)
17(9.8%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
56(32.2%)
56(32.2%)
37(21.3%)
17(9.8%)
8(4.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
91(31.4%)
0(0.0%)
10(3.4%)
111(38.3%)
22(7.6%)
0(0.0%)
0(0.0%)
1(0.3%)
55(19.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
390(35.9%)
351(32.3%)
237(21.8%)
78(7.2%)
27(2.5%)
4(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_block_group_2010 [factor] 1. 1 2. 2 3. 3 4. 4 5. 5 6. 6 7. 7 8. 8 9. 9
7(43.8%)
5(31.2%)
3(18.8%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CENSUS TR CERTAINTY 2000


All data

st_css() #IMPORTANT!
  censustrcertainty2000 <- as.factor(trimws(d[,"censustrcertainty2000"]))
  levels(censustrcertainty2000)[levels(censustrcertainty2000)=="1"] <- "complete_and_valid.1"
  levels(censustrcertainty2000)[levels(censustrcertainty2000)=="9"] <- "Not_assigned.9"

  new.d <- data.frame(new.d, censustrcertainty2000)
  new.d <- apply_labels(new.d, censustrcertainty2000 = "census_tr_certainty_2000")

temp.d <- data.frame (new.d.1, censustrcertainty2000)
summarytools::view(dfSummary(new.d$censustrcertainty2000, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 censustrcertainty2000 [labelled, factor] census_tr_certainty_2000 1. complete_and_valid.1 2. Not_assigned.9
9(1.5%)
599(98.5%)
1559 (71.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9
0(0.0%)
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9
0(0.0%)
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9
1(0.4%)
236(99.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9
1(100.0%)
0(0.0%)
173 (99.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2000 [factor] 1. complete_and_valid.1 2. Not_assigned.9
7(100.0%)
0(0.0%)
9 (56.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CENSUS TR CERTAINTY 2000


All data

st_css() #IMPORTANT!
  censustrcertainty2010 <- as.factor(trimws(d[,"censustrcertainty2010"]))
  levels(censustrcertainty2010)[levels(censustrcertainty2010)=="1"] <- "complete_and_valid.1"
  levels(censustrcertainty2010)[levels(censustrcertainty2010)=="2"] <- "ZIP_4.2"
  levels(censustrcertainty2010)[levels(censustrcertainty2010)=="4"] <- "ZIP_code_only.4"
  levels(censustrcertainty2010)[levels(censustrcertainty2010)=="5"] <- "ZIP_code_of_PO_Box.5"
  levels(censustrcertainty2010)[levels(censustrcertainty2010)=="9"] <- "Not_assigned.9"

  new.d <- data.frame(new.d, censustrcertainty2010)
  new.d <- apply_labels(new.d, censustrcertainty2010 = "census_tr_certainty_2010")

temp.d <- data.frame (new.d.1, censustrcertainty2010)
summarytools::view(dfSummary(new.d$censustrcertainty2010, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 censustrcertainty2010 [labelled, factor] census_tr_certainty_2010 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
2136(98.6%)
3(0.1%)
2(0.1%)
24(1.1%)
2(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
182(96.3%)
0(0.0%)
0(0.0%)
6(3.2%)
1(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
167(96.0%)
0(0.0%)
0(0.0%)
7(4.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
228(96.2%)
2(0.8%)
0(0.0%)
6(2.5%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
173(99.4%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
288(99.3%)
0(0.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
1082(99.5%)
1(0.1%)
1(0.1%)
3(0.3%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 census_tr_certainty_2010 [factor] 1. complete_and_valid.1 2. ZIP_4.2 3. ZIP_code_only.4 4. ZIP_code_of_PO_Box.5 5. Not_assigned.9
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SEQUENCE NUMBER–CENTRAL


All data

st_css() #IMPORTANT!
  sequencenumbercentral <- as.factor(trimws(d[,"sequencenumbercentral"]))
  levels(sequencenumbercentral)[levels(sequencenumbercentral)=="0"] <- "One_primary.0"
  levels(sequencenumbercentral)[levels(sequencenumbercentral)=="1"] <- "First_of_two_or_more.1"
  levels(sequencenumbercentral)[levels(sequencenumbercentral)=="2"] <- "Second_of_two_or_more.2"
  levels(sequencenumbercentral)[levels(sequencenumbercentral)=="3"] <- "Third_of_two_or_more.2"
  levels(sequencenumbercentral)[levels(sequencenumbercentral)=="4"] <- "Forth_of_two_or_more.4"

  new.d <- data.frame(new.d, sequencenumbercentral)
  new.d <- apply_labels(new.d, sequencenumbercentral = "sequence_number_central")

temp.d <- data.frame (new.d.1, sequencenumbercentral)
summarytools::view(dfSummary(new.d$sequencenumbercentral, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 sequencenumbercentral [labelled, factor] sequence_number_central 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
1997(92.2%)
49(2.3%)
105(4.8%)
14(0.6%)
2(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
178(94.2%)
4(2.1%)
5(2.6%)
2(1.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
161(92.5%)
5(2.9%)
6(3.4%)
2(1.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
224(94.5%)
2(0.8%)
11(4.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
152(87.4%)
4(2.3%)
13(7.5%)
4(2.3%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
273(94.1%)
3(1.0%)
12(4.1%)
2(0.7%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
994(91.4%)
30(2.8%)
58(5.3%)
4(0.4%)
1(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 sequence_number_central [factor] 1. One_primary.0 2. First_of_two_or_more.1 3. Second_of_two_or_more.2 4. Third_of_two_or_more.2 5. Forth_of_two_or_more.4
15(93.8%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DATE OF DIAGNOSIS



All data

  dateofdiagnosis <- trimws(d[,"dateofdiagnosis"])
  #new.d.n <- data.frame(new.d.n, dateofdiagnosis) # keep NAACCR coding
  
  select99 <- substr(dateofdiagnosis, start=7, stop=8)=="99"
  dateofdiagnosis[select99] <- substr(dateofdiagnosis[select99], start=1, stop=6)
  select6 <- nchar(trimws(dateofdiagnosis))==6
  dateofdiagnosis[select6] <- as.Date(as.yearmon(dateofdiagnosis[select6], c("%Y%m")))
  select8 <- nchar(trimws(dateofdiagnosis))==8
  dateofdiagnosis[select8] <- as.Date(dateofdiagnosis[select8], c("%Y%m%d"))
  select4 <- nchar(trimws(dateofdiagnosis))==4
  dateofdiagnosis[select4] <- as.Date(dateofdiagnosis[select4], c("%Y"))


  
  dateofdiagnosis <- as.Date(as.numeric(dateofdiagnosis), origin = "1970-01-01")
  new.d <- data.frame(new.d, dateofdiagnosis)
  new.d <- apply_labels(new.d, dateofdiagnosis = "Date of Diagnosis")

  temp.d <- data.frame (new.d.1, dateofdiagnosis)
summarytools::view(dfSummary(new.d$dateofdiagnosis, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 dateofdiagnosis [labelled, Date] Date of Diagnosis min : 2011-08-01 med : 2016-01-26 max : 2018-12-01 range : 7y 4m 0d 533 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] 1. 2015-01-01 2. 2015-02-01 3. 2015-03-01 4. 2015-04-01 5. 2015-05-01 6. 2015-06-01 7. 2015-07-01 8. 2015-08-01 9. 2015-09-01 10. 2015-10-01 11. 2015-11-01 12. 2015-12-01 13. 2016-01-01 14. 2016-02-01 15. 2016-03-01 16. 2016-04-01 17. 2016-05-01 18. 2016-06-01 19. 2016-07-01 20. 2016-08-01 21. 2016-09-01 22. 2016-10-01 23. 2016-11-01 24. 2016-12-01 25. 2017-02-01 26. 2017-03-01 27. 2017-06-01 28. 2017-08-01 29. 2017-11-01 30. 2017-12-01
8(4.2%)
4(2.1%)
9(4.8%)
9(4.8%)
4(2.1%)
7(3.7%)
10(5.3%)
12(6.3%)
6(3.2%)
3(1.6%)
9(4.8%)
9(4.8%)
6(3.2%)
5(2.6%)
13(6.9%)
15(7.9%)
9(4.8%)
8(4.2%)
5(2.6%)
10(5.3%)
5(2.6%)
2(1.1%)
6(3.2%)
4(2.1%)
1(0.5%)
2(1.1%)
2(1.1%)
2(1.1%)
3(1.6%)
1(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] min : 2015-01-05 med : 2016-01-22 max : 2017-09-11 range : 2y 8m 6d 146 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] min : 2015-01-01 med : 2015-11-01 max : 2016-12-01 range : 1y 11m 0d 24 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] min : 2015-01-01 med : 2016-08-01 max : 2018-12-01 range : 3y 11m 0d 48 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] min : 2015-01-01 med : 2016-03-22 max : 2016-12-30 range : 1y 11m 29d 216 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] min : 2015-01-01 med : 2016-01-19 max : 2018-09-26 range : 3y 8m 25d 458 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_diagnosis [Date] min : 2011-08-01 med : 2013-05-01 max : 2015-04-01 range : 3y 8m 0d 15 distinct values 0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


PRIMARY SITE



  primarysite <- as.factor(d[,"primarysite"])
  levels(primarysite) <- list(Prostate="C619") # other codings become NA
  new.d <- data.frame(new.d, primarysite)
  new.d <- apply_labels(new.d, primarysite = "Primary Tumor Site")
  
  #cro(new.d$primarysite)# this is pretty but doesn't show NAs
  primarysite<-count(new.d$primarysite)
  colnames(primarysite)<- c("Primary site", "Total")
  kable(primarysite, format = "simple", align = 'l', caption = "Overview of 8 Registries")
Overview of 8 Registries
Primary site Total
Prostate 2166
NA 1


GRADE


All data

  grade <- as.factor(d[,"grade"])
  levels(grade) <- list(Grade_I.1="1",
                        Grade_II.2="2",
                        Grade_III.3="3",
                        Grade_IV.4="4",
                        T_cell.5="5",
                        B_cell.6="6",
                        Null_cell.7="7",
                        NK_cell.8="8",
                        Unknown.9="9")
  new.d <- data.frame(new.d, grade)
  new.d <- apply_labels(new.d, grade = "Tumor Grade")
  
  #cro(new.d$grade)# this is pretty but doesn't show NAs
  #summary(new.d$grade)
temp.d <- data.frame (new.d.1, grade)
summarytools::view(dfSummary(new.d$grade, style = 'grid', max.distinct.values = 10, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 grade [labelled, factor] Tumor Grade 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
375(17.6%)
1156(54.2%)
589(27.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
13(0.6%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
40(21.2%)
108(57.1%)
39(20.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
57(32.8%)
93(53.4%)
23(13.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
47(19.8%)
120(50.6%)
68(28.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
17(12.0%)
83(58.5%)
41(28.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
27(9.3%)
153(52.8%)
110(37.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
185(17.1%)
592(54.6%)
301(27.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
7(0.6%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade [factor] 1. Grade_I.1 2. Grade_II.2 3. Grade_III.3 4. Grade_IV.4 5. T_cell.5 6. B_cell.6 7. Null_cell.7 8. NK_cell.8 9. Unknown.9
2(12.5%)
7(43.8%)
7(43.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DIAGNOSTIC CONFIRMATION

All data

st_css() #IMPORTANT!
  diagnosticconfirmation <- as.factor(trimws(d[,"diagnosticconfirmation"]))
  levels(diagnosticconfirmation)[levels(diagnosticconfirmation)=="1"] <- "Positive_histology.1"

  new.d <- data.frame(new.d, diagnosticconfirmation)
  new.d <- apply_labels(new.d, diagnosticconfirmation = "diagnostic_confirmation")

temp.d <- data.frame (new.d.1, diagnosticconfirmation)
summarytools::view(dfSummary(new.d$diagnosticconfirmation, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 diagnosticconfirmation [labelled, factor] diagnostic_confirmation 1. Positive_histology.1
2167(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
1087(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 diagnostic_confirmation [factor] 1. Positive_histology.1
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TYPE OF REPORTING SOURCE


- This variable codes the source documents used to abstract the majority of information on the tumor being reported. This may not be the source of original case finding (for example, if a case is identified through a pathology laboratory report review and all source documents used to abstract the case are from the physician’s office, code this item 4).


All data

  typeofreportingsource <- as.factor(d[,"typeofreportingsource"])
  levels(typeofreportingsource) <- list(Hospital.1="1",
                                 Radiation_Tx.2="2",
                                 Laboratory_Only.3="3",
                                 Physician.4="4",
                                 Nursing.5="5",
                                 Autopsy.6="6",
                                 Death_Certificate.7="7",
                                 Other_Hospital.Unit.8="8")
  new.d <- data.frame(new.d, typeofreportingsource)
  new.d <- apply_labels(new.d, typeofreportingsource = "Source of Tumor Information")
  
  #summary(new.d$typeofreportingsource)

temp.d <- data.frame (new.d.1, typeofreportingsource)
summarytools::view(dfSummary(new.d$typeofreportingsource, style = 'grid', max.distinct.values = 10, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 typeofreportingsource [labelled, factor] Source of Tumor Information 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
1992(91.9%)
66(3.0%)
53(2.4%)
30(1.4%)
0(0.0%)
0(0.0%)
0(0.0%)
26(1.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
186(98.4%)
0(0.0%)
0(0.0%)
3(1.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
169(97.1%)
3(1.7%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
228(96.2%)
6(2.5%)
0(0.0%)
2(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
169(97.1%)
0(0.0%)
4(2.3%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
255(87.9%)
8(2.8%)
11(3.8%)
16(5.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
970(89.2%)
49(4.5%)
38(3.5%)
5(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
25(2.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 type_of_reporting_source [factor] 1. Hospital.1 2. Radiation_Tx.2 3. Laboratory_Only.3 4. Physician.4 5. Nursing.5 6. Autopsy.6 7. Death_Certificate.7 8. Other_Hospital.Unit.8
15(93.8%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


HISTOLOGIC TYPE ICD-O-3


All data

st_css() #IMPORTANT!
  histologictypeicdo3 <- as.factor(trimws(d[,"histologictypeicdo3"]))
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8000"] <- "Neoplasm_malignant.8000"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8010"] <- "Carcinoma_NOS.8010"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8140"] <- "Adenocarcinoma_NOS.8140"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8323"] <- "Mixed_cell_adenocarcinoma.8323"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8480"] <- "Mucinous_adenocarcinoma.8480 "
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8481"] <- "Mucin_producing_adenocarcinoma.8481"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8490"] <- "Signet_ring_cell_adenocarcinoma.8490"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8500"] <- "Invasive_breast_carcinoma.8500"
  levels(histologictypeicdo3)[levels(histologictypeicdo3)=="8550"] <- "Acinar_cell_tumor.8550"

  new.d <- data.frame(new.d, histologictypeicdo3)
  new.d <- apply_labels(new.d, histologictypeicdo3 = "histologic_type_icdo3")

temp.d <- data.frame (new.d.1, histologictypeicdo3)
summarytools::view(dfSummary(new.d$histologictypeicdo3, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 histologictypeicdo3 [labelled, factor] histologic_type_icdo3 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
5(0.2%)
5(0.2%)
2138(98.7%)
1(0.0%)
1(0.0%)
1(0.0%)
3(0.1%)
3(0.1%)
10(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
0(0.0%)
0(0.0%)
186(98.4%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
1(0.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
0(0.0%)
0(0.0%)
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
1(0.4%)
0(0.0%)
235(99.2%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
0(0.0%)
1(0.6%)
171(98.3%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
0(0.0%)
0(0.0%)
285(98.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
4(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
4(0.4%)
4(0.4%)
1071(98.5%)
1(0.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.1%)
6(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 histologic_type_icdo3 [factor] 1. Neoplasm_malignant.8000 2. Carcinoma_NOS.8010 3. Adenocarcinoma_NOS.8140 4. Mixed_cell_adenocarcinoma 5. Mucinous_adenocarcinoma.8 6. Mucin_producing_adenocarc 7. Signet_ring_cell_adenocar 8. Invasive_breast_carcinoma 9. Acinar_cell_tumor.8550
0(0.0%)
0(0.0%)
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


BEHAVIOR CODE ICD-O-3


All data

st_css() #IMPORTANT!
  behaviorcodeicdo3 <- as.factor(trimws(d[,"behaviorcodeicdo3"]))

  new.d <- data.frame(new.d, behaviorcodeicdo3)
  new.d <- apply_labels(new.d, behaviorcodeicdo3 = "behavior_code_icdo3")

temp.d <- data.frame (new.d.1, behaviorcodeicdo3)
summarytools::view(dfSummary(new.d$behaviorcodeicdo3, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 behaviorcodeicdo3 [labelled, factor] behavior_code_icdo3 1. 3
2167(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


PRIMARY PAYER AT DX

-Codes
+ 01 Not insured
+ 02 Not insured, self-pay
+ 10 Insurance, NOS
+ 20 Private Insurance: Managed care, HMO, or PPO
+ 21 Private Insurance: Fee-for-Service
+ 31 Medicaid
+ 35 Medicaid - Administered through a Managed Care plan
+ 60 Medicare/Medicare, NOS
+ 61 Medicare with supplement, NOS
+ 62 Medicare - Administered through a Managed Care plan
+ 63 Medicare with private supplement
+ 64 Medicare with Medicaid eligibility
+ 65 TRICARE
+ 66 Military
+ 67 Veterans Affairs
+ 68 Indian/Public Health Service
+ 99 Insurance status unknown


All data

  primarypayeratdx <- as.factor(d[,"primarypayeratdx"])
  levels(primarypayeratdx) <- list(Not_insured.1="1",
                               Not_insured_self_pay.2="2",
                               Insurance.10="10",
                               Private_managed.20="20",
                               Private_FFS.21="21", # fee-for-service
                               Medicaid.31="31",
                               Medicaid_managed_care.35="35",
                               Medicare_medicare.60="60",
                               Medicare_suppl.61="61",
                               Medicare_managed_care.62="62",
                               Medicare_private_suppl.63="63",
                               Medicare_medicaid.64="64",
                               TRICARE.65="65",
                               Military.66="66",
                               Veterans_Affairs.67="67",
                               Indian_PHS.68="68",
                               Unknown.99="99")
    primarypayeratdx <- relevel(primarypayeratdx, ref="Private_managed.20")
    new.d <- data.frame(new.d, primarypayeratdx)
    new.d <- apply_labels(new.d, primarypayeratdx = "Primary payer/insurance at the time of diagnosis")
    #summary(new.d$primarypayeratdx)
temp.d <- data.frame (new.d.1, primarypayeratdx)
summarytools::view(dfSummary(new.d$primarypayeratdx, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 primarypayeratdx [labelled, factor] Primary payer/insurance at the time of diagnosis 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
894(42.1%)
0(0.0%)
0(0.0%)
46(2.2%)
36(1.7%)
75(3.5%)
62(2.9%)
195(9.2%)
111(5.2%)
196(9.2%)
120(5.6%)
55(2.6%)
47(2.2%)
1(0.0%)
149(7.0%)
0(0.0%)
138(6.5%)
42 (1.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
114(60.6%)
0(0.0%)
0(0.0%)
4(2.1%)
0(0.0%)
7(3.7%)
6(3.2%)
14(7.4%)
1(0.5%)
23(12.2%)
4(2.1%)
4(2.1%)
0(0.0%)
0(0.0%)
7(3.7%)
0(0.0%)
4(2.1%)
1 (0.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
110(63.6%)
0(0.0%)
0(0.0%)
4(2.3%)
0(0.0%)
6(3.5%)
4(2.3%)
17(9.8%)
4(2.3%)
10(5.8%)
0(0.0%)
9(5.2%)
1(0.6%)
0(0.0%)
5(2.9%)
0(0.0%)
3(1.7%)
1 (0.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
135(57.0%)
0(0.0%)
0(0.0%)
3(1.3%)
1(0.4%)
11(4.6%)
11(4.6%)
15(6.3%)
21(8.9%)
14(5.9%)
2(0.8%)
4(1.7%)
4(1.7%)
0(0.0%)
3(1.3%)
0(0.0%)
13(5.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
56(33.1%)
0(0.0%)
0(0.0%)
5(3.0%)
2(1.2%)
7(4.1%)
16(9.5%)
15(8.9%)
4(2.4%)
22(13.0%)
26(15.4%)
5(3.0%)
1(0.6%)
0(0.0%)
2(1.2%)
0(0.0%)
8(4.7%)
5 (2.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
110(39.1%)
0(0.0%)
0(0.0%)
6(2.1%)
1(0.4%)
10(3.6%)
14(5.0%)
26(9.3%)
17(6.0%)
36(12.8%)
8(2.8%)
6(2.1%)
3(1.1%)
1(0.4%)
33(11.7%)
0(0.0%)
10(3.6%)
9 (3.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
359(33.8%)
0(0.0%)
0(0.0%)
23(2.2%)
32(3.0%)
34(3.2%)
10(0.9%)
107(10.1%)
62(5.8%)
91(8.6%)
80(7.5%)
27(2.5%)
38(3.6%)
0(0.0%)
99(9.3%)
0(0.0%)
100(9.4%)
25 (2.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 primary_payer_at_dx [factor] 1. Private_managed.20 2. Not_insured.1 3. Not_insured_self_pay.2 4. Insurance.10 5. Private_FFS.21 6. Medicaid.31 7. Medicaid_managed_care.35 8. Medicare_medicare.60 9. Medicare_suppl.61 10. Medicare_managed_care.62 11. Medicare_private_suppl.63 12. Medicare_medicaid.64 13. TRICARE.65 14. Military.66 15. Veterans_Affairs.67 16. Indian_PHS.68 17. Unknown.99
10(66.7%)
0(0.0%)
0(0.0%)
1(6.7%)
0(0.0%)
0(0.0%)
1(6.7%)
1(6.7%)
2(13.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1 (6.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SEER SUMMARY STAGE 2000


All data

st_css() #IMPORTANT!
  seersummarystage2000 <- as.factor(trimws(d[,"seersummarystage2000"]))
  levels(seersummarystage2000)[levels(seersummarystage2000)=="1"] <- "Localized.1"
  levels(seersummarystage2000)[levels(seersummarystage2000)=="2"] <- "Regional_direct_extension.2"
  levels(seersummarystage2000)[levels(seersummarystage2000)=="3"] <- "Regional_lymph_nodes.3"
  levels(seersummarystage2000)[levels(seersummarystage2000)=="4"] <- "Regional_both_23.4"
  levels(seersummarystage2000)[levels(seersummarystage2000)=="5"] <- "Regional_NOS.5"
  levels(seersummarystage2000)[levels(seersummarystage2000)=="7"] <- "Distant.7"
  levels(seersummarystage2000)[levels(seersummarystage2000)=="9"] <- "Unstaged.9"


  new.d <- data.frame(new.d, seersummarystage2000)
  new.d <- apply_labels(new.d, seersummarystage2000 = "seer_summary_stage_2000")

temp.d <- data.frame (new.d.1, seersummarystage2000)
summarytools::view(dfSummary(new.d$seersummarystage2000, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 seersummarystage2000 [labelled, factor] seer_summary_stage_2000 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
1652(78.0%)
284(13.4%)
30(1.4%)
48(2.3%)
2(0.1%)
56(2.6%)
46(2.2%)
49 (2.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
142(75.1%)
28(14.8%)
1(0.5%)
7(3.7%)
0(0.0%)
5(2.6%)
6(3.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
140(80.5%)
24(13.8%)
2(1.1%)
2(1.1%)
0(0.0%)
6(3.4%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
170(71.7%)
36(15.2%)
7(3.0%)
11(4.6%)
0(0.0%)
9(3.8%)
4(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
99(69.7%)
24(16.9%)
1(0.7%)
8(5.6%)
0(0.0%)
6(4.2%)
4(2.8%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
206(71.0%)
65(22.4%)
5(1.7%)
5(1.7%)
0(0.0%)
4(1.4%)
5(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
894(82.4%)
107(9.9%)
14(1.3%)
15(1.4%)
2(0.2%)
26(2.4%)
27(2.5%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_2000 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_lymph_nodes.3 4. Regional_both_23.4 5. Regional_NOS.5 6. Distant.7 7. Unstaged.9
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15 (93.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SEER SUMMARY STAGE 1977


All data

st_css() #IMPORTANT!
  seersummarystage1977 <- as.factor(trimws(d[,"seersummarystage1977"]))
  levels(seersummarystage1977)[levels(seersummarystage1977)=="1"] <- "Localized.1"
  levels(seersummarystage1977)[levels(seersummarystage1977)=="2"] <- "Regional_direct_extension.2"
  levels(seersummarystage1977)[levels(seersummarystage1977)=="4"] <- "Regional_both.4"
  levels(seersummarystage1977)[levels(seersummarystage1977)=="9"] <- "Unstaged.9"


  new.d <- data.frame(new.d, seersummarystage1977)
  new.d <- apply_labels(new.d, seersummarystage1977 = "seer_summary_stage_1977")

temp.d <- data.frame (new.d.1, seersummarystage1977)
summarytools::view(dfSummary(new.d$seersummarystage1977, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 seersummarystage1977 [labelled, factor] seer_summary_stage_1977 1. Localized.1 2. Regional_direct_extension 3. Regional_both.4 4. Unstaged.9
11(4.6%)
4(1.7%)
1(0.4%)
221(93.2%)
1930 (89.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension.2 3. Regional_both.4 4. Unstaged.9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension.2 3. Regional_both.4 4. Unstaged.9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension 3. Regional_both.4 4. Unstaged.9
11(4.6%)
4(1.7%)
1(0.4%)
221(93.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension.2 3. Regional_both.4 4. Unstaged.9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension.2 3. Regional_both.4 4. Unstaged.9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension.2 3. Regional_both.4 4. Unstaged.9 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 seer_summary_stage_1977 [factor] 1. Localized.1 2. Regional_direct_extension.2 3. Regional_both.4 4. Unstaged.9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SUMMARY STAGE 2018


All data

  derivedsummarystage2018 <- as.factor(d[,"derivedsummarystage2018"])
  levels(derivedsummarystage2018) <- list(In_situ.0="0",
                                          Localized.1="1",
                                          Regional_direct.2="2",
                                          Regional_regional.3="3",
                                          Regional_direct_regional.4="4",
                                          Distant.7="7",
                                          Benign_borderline.8="8",
                                          Unknown.9="9")
    derivedsummarystage2018 <- relevel(derivedsummarystage2018, ref="Localized.1")
    new.d <- data.frame(new.d, derivedsummarystage2018)
    new.d <- apply_labels(new.d, derivedsummarystage2018 = "Tumor Staging")
    #summary(new.d$derivedsummarystage2018)
temp.d <- data.frame (new.d.1, derivedsummarystage2018)
summarytools::view(dfSummary(new.d$derivedsummarystage2018, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedsummarystage2018 [labelled, factor] Tumor Staging 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional. 6. Distant.7 7. Benign_borderline.8 8. Unknown.9
28(82.4%)
0(0.0%)
3(8.8%)
0(0.0%)
0(0.0%)
3(8.8%)
0(0.0%)
0(0.0%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional.4 6. Distant.7 7. Benign_borderline.8 8. Unknown.9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional.4 6. Distant.7 7. Benign_borderline.8 8. Unknown.9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional.4 6. Distant.7 7. Benign_borderline.8 8. Unknown.9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional. 6. Distant.7 7. Benign_borderline.8 8. Unknown.9
26(81.2%)
0(0.0%)
3(9.4%)
0(0.0%)
0(0.0%)
3(9.4%)
0(0.0%)
0(0.0%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional.4 6. Distant.7 7. Benign_borderline.8 8. Unknown.9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional. 6. Distant.7 7. Benign_borderline.8 8. Unknown.9
2(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_summary_stage_2018 [factor] 1. Localized.1 2. In_situ.0 3. Regional_direct.2 4. Regional_regional.3 5. Regional_direct_regional.4 6. Distant.7 7. Benign_borderline.8 8. Unknown.9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SUMMARY STAGE 2018


All data

st_css() #IMPORTANT!
  summarystage2018 <- as.factor(trimws(d[,"summarystage2018"]))
  levels(summarystage2018)[levels(summarystage2018)=="1"] <- "Localized_only.1"
  levels(summarystage2018)[levels(summarystage2018)=="2"] <- "Regional_direct_extension.2"
  levels(summarystage2018)[levels(summarystage2018)=="7"] <- "Distant_site_node_involved.7"


  new.d <- data.frame(new.d, summarystage2018)
  new.d <- apply_labels(new.d, summarystage2018 = "summary_stage_2018")

temp.d <- data.frame (new.d.1, summarystage2018)
summarytools::view(dfSummary(new.d$summarystage2018, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 summarystage2018 [labelled, factor] summary_stage_2018 1. Localized_only.1 2. Regional_direct_extension 3. Distant_site_node_involve
28(82.4%)
3(8.8%)
3(8.8%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension.2 3. Distant_site_node_involved.7 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension.2 3. Distant_site_node_involved.7 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension.2 3. Distant_site_node_involved.7 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension 3. Distant_site_node_involve
26(81.2%)
3(9.4%)
3(9.4%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension.2 3. Distant_site_node_involved.7 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension 3. Distant_site_node_involve
2(100.0%)
0(0.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 summary_stage_2018 [factor] 1. Localized_only.1 2. Regional_direct_extension.2 3. Distant_site_node_involved.7 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD PRIMARY TUMOR


All data

st_css() #IMPORTANT!
  eodprimarytumor <- as.factor(trimws(d[,"eodprimarytumor"]))
  levels(eodprimarytumor)[levels(eodprimarytumor)=="100"] <- "5_percent_or_less_tissue.100"
  levels(eodprimarytumor)[levels(eodprimarytumor)=="120"] <- "Identified_by_needle_biopsy.120"
  levels(eodprimarytumor)[levels(eodprimarytumor)=="150"] <- "number_of_foci_not_specified.150"
  levels(eodprimarytumor)[levels(eodprimarytumor)=="200"] <- "one_half.200"
  levels(eodprimarytumor)[levels(eodprimarytumor)=="220"] <- "both_lobes_sides.220"
  levels(eodprimarytumor)[levels(eodprimarytumor)=="300"] <- "Localized_NOS.300"
  levels(eodprimarytumor)[levels(eodprimarytumor)=="350"] <- "Bladder_neck_microscopic_invasion.350"

  new.d <- data.frame(new.d, eodprimarytumor)
  new.d <- apply_labels(new.d, eodprimarytumor = "eod_primary_tumor")

temp.d <- data.frame (new.d.1, eodprimarytumor)
summarytools::view(dfSummary(new.d$eodprimarytumor, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 eodprimarytumor [labelled, factor] eod_primary_tumor 1. 5_percent_or_less_tissue. 2. Identified_by_needle_biop 3. number_of_foci_not_specif 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_
1(2.9%)
17(50.0%)
1(2.9%)
7(20.6%)
1(2.9%)
6(17.6%)
1(2.9%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue.100 2. Identified_by_needle_biopsy.120 3. number_of_foci_not_specified.150 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_invasion.350 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue.100 2. Identified_by_needle_biopsy.120 3. number_of_foci_not_specified.150 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_invasion.350 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue.100 2. Identified_by_needle_biopsy.120 3. number_of_foci_not_specified.150 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_invasion.350 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue. 2. Identified_by_needle_biop 3. number_of_foci_not_specif 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_
1(3.1%)
16(50.0%)
1(3.1%)
6(18.8%)
1(3.1%)
6(18.8%)
1(3.1%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue.100 2. Identified_by_needle_biopsy.120 3. number_of_foci_not_specified.150 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_invasion.350 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue. 2. Identified_by_needle_biop 3. number_of_foci_not_specif 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_
0(0.0%)
1(50.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_primary_tumor [factor] 1. 5_percent_or_less_tissue.100 2. Identified_by_needle_biopsy.120 3. number_of_foci_not_specified.150 4. one_half.200 5. both_lobes_sides.220 6. Localized_NOS.300 7. Bladder_neck_microscopic_invasion.350 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD REGIONAL NODES


All data

st_css() #IMPORTANT!
  eodregionalnodes <- as.factor(trimws(d[,"eodregionalnodes"]))
  levels(eodregionalnodes)[levels(eodregionalnodes)=="000"] <- "None.100"
  levels(eodregionalnodes)[levels(eodregionalnodes)=="300"] <- "Hypogastric.300"

  new.d <- data.frame(new.d, eodregionalnodes)
  new.d <- apply_labels(new.d, eodregionalnodes = "eod_regional_nodes")

temp.d <- data.frame (new.d.1, eodregionalnodes)
summarytools::view(dfSummary(new.d$eodregionalnodes, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 eodregionalnodes [labelled, factor] eod_regional_nodes 1. None.100 2. Hypogastric.300
33(97.1%)
1(2.9%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300
31(96.9%)
1(3.1%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300
2(100.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_regional_nodes [factor] 1. None.100 2. Hypogastric.300 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD METS


All data

st_css() #IMPORTANT!
  eodmets <- as.factor(trimws(d[,"eodmets"]))
  levels(eodmets)[levels(eodmets)=="00"] <- "None.100"
  levels(eodmets)[levels(eodmets)=="30"] <- "Bone_WITH_or_WITHOUT.30"
  levels(eodmets)[levels(eodmets)=="50"] <- "Other_specified_metastasis.50"

  new.d <- data.frame(new.d, eodmets)
  new.d <- apply_labels(new.d, eodmets = "eod_mets")
temp.d <- data.frame (new.d.1, eodmets)
summarytools::view(dfSummary(new.d$eodmets), style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE, method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 eodmets [labelled, factor] eod_mets 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasi
31(91.2%)
2(5.9%)
1(2.9%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasis.50 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasis.50 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasis.50 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasi
29(90.6%)
2(6.2%)
1(3.1%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasis.50 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasi
2(100.0%)
0(0.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 eod_mets [factor] 1. None.100 2. Bone_WITH_or_WITHOUT.30 3. Other_specified_metastasis.50 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD–EXTENSION


All data

st_css() #IMPORTANT!
  eodextension <- as.factor(trimws(d[,"eodextension"]))

  new.d <- data.frame(new.d, eodextension)
  new.d <- apply_labels(new.d, eodextension = "eod_extension")
temp.d <- data.frame (new.d.1, eodextension)
summarytools::view(dfSummary(new.d$eodextension), style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE, method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 eodextension [labelled, factor] eod_extension No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD–EXTENSION PROST PATH


All data

st_css() #IMPORTANT!
  eodextensionprostpath <- as.factor(trimws(d[,"eodextensionprostpath"]))

  new.d <- data.frame(new.d, eodextensionprostpath)
  new.d <- apply_labels(new.d, eodextensionprostpath = "eod_extension_prost_path")
temp.d <- data.frame (new.d.1, eodextensionprostpath)
summarytools::view(dfSummary(new.d$eodextensionprostpath), style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE, method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 eodextensionprostpath [labelled, factor] eod_extension_prost_path No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD–LYMPH NODE INVOLV


All data

st_css() #IMPORTANT!
  eodlymphnodeinvolv <- as.factor(trimws(d[,"eodlymphnodeinvolv"]))

  new.d <- data.frame(new.d, eodlymphnodeinvolv)
  new.d <- apply_labels(new.d, eodlymphnodeinvolv = "eod_lymph_node_involv")
temp.d <- data.frame (new.d.1, eodlymphnodeinvolv)
summarytools::view(dfSummary(new.d$eodlymphnodeinvolv), style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE, method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 eodlymphnodeinvolv [labelled, factor] eod_lymph_node_involv No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED EOD 2018 STAGE GROUP


All data

  derivedeod2018stagegroup <- as.factor(trimws(d[,"derivedeod2018stagegroup"]))
  # THIS CODING NEEDS TO BE CONFIRMED
  levels(derivedeod2018stagegroup) <- list(T.1="1",
                                          T.1B="1B",
                                          T.2A="2A",
                                          T.2B="2B",
                                          T.2C="2C",
                                          T.3="3",
                                          T.3A="3A",
                                          T.3B="3B",
                                          T.3C="3C",
                                          T.4="4",
                                          T.4A="4A",
                                          T.4B="4B",
                                          Do_Not_Know.88="88",
                                          Unknown.99="99")
    derivedeod2018stagegroup <- relevel(derivedeod2018stagegroup, ref="T.1")
    new.d <- data.frame(new.d, derivedeod2018stagegroup)
    new.d <- apply_labels(new.d, derivedeod2018stagegroup = "Tumor Stage Group")
    #summary(new.d$derivedeod2018stagegroup)
temp.d <- data.frame (new.d.1, derivedeod2018stagegroup)
summarytools::view(dfSummary(new.d$derivedeod2018stagegroup, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedeod2018stagegroup [labelled, factor] Tumor Stage Group 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99
2(5.9%)
1(2.9%)
2(5.9%)
7(20.6%)
11(32.4%)
0(0.0%)
2(5.9%)
2(5.9%)
2(5.9%)
0(0.0%)
0(0.0%)
3(8.8%)
0(0.0%)
2(5.9%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99
1(3.1%)
0(0.0%)
2(6.2%)
7(21.9%)
11(34.4%)
0(0.0%)
2(6.2%)
2(6.2%)
2(6.2%)
0(0.0%)
0(0.0%)
3(9.4%)
0(0.0%)
2(6.2%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99
1(50.0%)
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_eod_2018_stage_group [factor] 1. T.1 2. T.1B 3. T.2A 4. T.2B 5. T.2C 6. T.3 7. T.3A 8. T.3B 9. T.3C 10. T.4 11. T.4A 12. T.4B 13. Do_Not_Know.88 14. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


REGIONAL NODES POSITIVE


All data

st_css() #IMPORTANT!
  regionalnodespositive <- as.factor(trimws(d[,"regionalnodespositive"]))
  levels(regionalnodespositive)[levels(regionalnodespositive)=="0"] <- "All_negative.0"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="1"] <- "1_node_posi.1"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="2"] <- "2_nodes_posi.2"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="3"] <- "3_nodes_posi.3"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="4"] <- "4_nodes_posi.4"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="5"] <- "5_nodes_posi.5"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="6"] <- "6_nodes_posi.6"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="18"] <- "18_nodes_posi.18"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="19"] <- "19_nodes_posi.19"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="95"] <- "Positive_aspiration.95"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="98"] <- "No_nodes_examined.98"
  levels(regionalnodespositive)[levels(regionalnodespositive)=="99"] <- "Unknown.99"

  new.d <- data.frame(new.d, regionalnodespositive)
  new.d <- apply_labels(new.d, regionalnodespositive = "regional_nodes_positive")

temp.d <- data.frame (new.d.1, regionalnodespositive)
summarytools::view(dfSummary(new.d$regionalnodespositive, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 regionalnodespositive [labelled, factor] regional_nodes_positive 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
659(30.4%)
30(1.4%)
1(0.0%)
1(0.0%)
13(0.6%)
5(0.2%)
4(0.2%)
2(0.1%)
1(0.0%)
3(0.1%)
1418(65.4%)
30(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
59(31.2%)
4(2.1%)
1(0.5%)
0(0.0%)
2(1.1%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
122(64.6%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
35(20.1%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
136(78.2%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
102(43.0%)
4(1.7%)
0(0.0%)
0(0.0%)
4(1.7%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.8%)
121(51.1%)
3(1.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
62(35.6%)
3(1.7%)
0(0.0%)
0(0.0%)
2(1.1%)
1(0.6%)
2(1.1%)
1(0.6%)
0(0.0%)
0(0.0%)
101(58.0%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
159(54.8%)
5(1.7%)
0(0.0%)
0(0.0%)
2(0.7%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
120(41.4%)
3(1.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
237(21.8%)
13(1.2%)
0(0.0%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
807(74.2%)
21(1.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_positive [factor] 1. All_negative.0 2. 1_node_posi.1 3. 18_nodes_posi.18 4. 19_nodes_posi.19 5. 2_nodes_posi.2 6. 3_nodes_posi.3 7. 4_nodes_posi.4 8. 5_nodes_posi.5 9. 6_nodes_posi.6 10. Positive_aspiration.95 11. No_nodes_examined.98 12. Unknown.99
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
11(68.8%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


REGIONAL NODES EXAMINED


All data

st_css() #IMPORTANT!
  regionalnodesexamined <- as.factor(trimws(d[,"regionalnodesexamined"]))
  levels(regionalnodesexamined)[levels(regionalnodesexamined)=="0"] <- "No_nodes_examined.0"
  levels(regionalnodesexamined)[levels(regionalnodesexamined)=="95"] <- "No_removed_aspiration_performed.95"
  levels(regionalnodesexamined)[levels(regionalnodesexamined)=="97"] <- "dissection_number_unknown.97"
  levels(regionalnodesexamined)[levels(regionalnodesexamined)=="98"] <- "nodes_removed_number_unknown.98"
  levels(regionalnodesexamined)[levels(regionalnodesexamined)=="99"] <- "Unknown.99"

  new.d <- data.frame(new.d, regionalnodesexamined)
  new.d <- apply_labels(new.d, regionalnodesexamined = "regional_nodes_examined")

temp.d <- data.frame (new.d.1, regionalnodesexamined)
summarytools::view(dfSummary(new.d$regionalnodesexamined, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 regionalnodesexamined [labelled, factor] regional_nodes_examined 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
1418(65.4%)
29(1.3%)
37(1.7%)
27(1.2%)
20(0.9%)
22(1.0%)
17(0.8%)
11(0.5%)
15(0.7%)
5(0.2%)
8(0.4%)
9(0.4%)
92(4.2%)
8(0.4%)
4(0.2%)
8(0.4%)
5(0.2%)
4(0.2%)
2(0.1%)
2(0.1%)
2(0.1%)
4(0.2%)
67(3.1%)
1(0.0%)
2(0.1%)
2(0.1%)
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
2(0.1%)
58(2.7%)
1(0.0%)
1(0.0%)
73(3.4%)
1(0.0%)
1(0.0%)
1(0.0%)
42(1.9%)
48(2.2%)
39(1.8%)
33(1.5%)
4(0.2%)
4(0.2%)
3(0.1%)
30(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
122(64.6%)
2(1.1%)
3(1.6%)
6(3.2%)
2(1.1%)
1(0.5%)
3(1.6%)
1(0.5%)
2(1.1%)
0(0.0%)
0(0.0%)
2(1.1%)
3(1.6%)
2(1.1%)
0(0.0%)
2(1.1%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
0(0.0%)
5(2.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.1%)
0(0.0%)
0(0.0%)
9(4.8%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.6%)
7(3.7%)
1(0.5%)
4(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
136(78.2%)
0(0.0%)
1(0.6%)
2(1.1%)
3(1.7%)
0(0.0%)
2(1.1%)
0(0.0%)
1(0.6%)
0(0.0%)
2(1.1%)
0(0.0%)
6(3.4%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.3%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.7%)
2(1.1%)
2(1.1%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
121(51.1%)
3(1.3%)
7(3.0%)
6(2.5%)
4(1.7%)
5(2.1%)
4(1.7%)
3(1.3%)
2(0.8%)
2(0.8%)
3(1.3%)
3(1.3%)
12(5.1%)
2(0.8%)
2(0.8%)
2(0.8%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
11(4.6%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
8(3.4%)
0(0.0%)
1(0.4%)
9(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.1%)
4(1.7%)
2(0.8%)
6(2.5%)
2(0.8%)
1(0.4%)
0(0.0%)
3(1.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
101(58.0%)
1(0.6%)
5(2.9%)
2(1.1%)
3(1.7%)
5(2.9%)
0(0.0%)
2(1.1%)
1(0.6%)
0(0.0%)
0(0.0%)
2(1.1%)
4(2.3%)
1(0.6%)
0(0.0%)
1(0.6%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.9%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.9%)
0(0.0%)
0(0.0%)
11(6.3%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
4(2.3%)
5(2.9%)
7(4.0%)
0(0.0%)
1(0.6%)
1(0.6%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
120(41.4%)
8(2.8%)
7(2.4%)
3(1.0%)
1(0.3%)
3(1.0%)
2(0.7%)
2(0.7%)
0(0.0%)
2(0.7%)
1(0.3%)
0(0.0%)
30(10.3%)
1(0.3%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
24(8.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
19(6.6%)
0(0.0%)
0(0.0%)
18(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
14(4.8%)
11(3.8%)
13(4.5%)
4(1.4%)
0(0.0%)
1(0.3%)
0(0.0%)
3(1.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
807(74.2%)
14(1.3%)
14(1.3%)
8(0.7%)
7(0.6%)
7(0.6%)
6(0.6%)
3(0.3%)
9(0.8%)
1(0.1%)
2(0.2%)
2(0.2%)
36(3.3%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
0(0.0%)
0(0.0%)
4(0.4%)
20(1.8%)
0(0.0%)
1(0.1%)
2(0.2%)
0(0.0%)
0(0.0%)
2(0.2%)
1(0.1%)
1(0.1%)
18(1.7%)
1(0.1%)
0(0.0%)
23(2.1%)
1(0.1%)
1(0.1%)
1(0.1%)
15(1.4%)
20(1.8%)
15(1.4%)
11(1.0%)
2(0.2%)
0(0.0%)
2(0.2%)
21(1.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 regional_nodes_examined [factor] 1. No_nodes_examined.0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 22 17. 23 18. 24 19. 25 20. 26 21. 27 22. 29 23. 3 24. 30 25. 32 26. 33 27. 34 28. 35 29. 36 30. 37 31. 39 32. 4 33. 42 34. 46 35. 5 36. 50 37. 51 38. 52 39. 6 40. 7 41. 8 42. 9 43. No_removed_aspiration_per 44. dissection_number_unknown 45. nodes_removed_number_unkn 46. Unknown.99
11(68.8%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM PATH T


All data

st_css() #IMPORTANT!
  tnmpatht <- as.factor(trimws(d[,"tnmpatht"]))
  levels(tnmpatht)[levels(tnmpatht)=="88"] <- "Not_applicable.88"

  new.d <- data.frame(new.d, tnmpatht)
  new.d <- apply_labels(new.d, tnmpatht = "tnm_path_t")

temp.d <- data.frame (new.d.1, tnmpatht)
summarytools::view(dfSummary(new.d$tnmpatht, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmpatht [labelled, factor] tnm_path_t 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
1(0.1%)
1(0.1%)
15(1.5%)
11(1.1%)
2(0.2%)
118(12.0%)
24(2.4%)
21(2.1%)
1(0.1%)
1(0.1%)
23(2.3%)
26(2.6%)
7(0.7%)
360(36.6%)
3(0.3%)
118(12.0%)
76(7.7%)
2(0.2%)
103(10.5%)
71(7.2%)
1183 (54.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.5%)
4(5.9%)
2(2.9%)
36(52.9%)
0(0.0%)
8(11.8%)
9(13.2%)
0(0.0%)
8(11.8%)
0(0.0%)
121 (64.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.8%)
0(0.0%)
4(7.3%)
0(0.0%)
14(25.5%)
1(1.8%)
13(23.6%)
4(7.3%)
0(0.0%)
18(32.7%)
0(0.0%)
119 (68.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.0%)
2(2.0%)
0(0.0%)
65(64.4%)
1(1.0%)
19(18.8%)
6(5.9%)
0(0.0%)
6(5.9%)
0(0.0%)
136 (57.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
0(0.0%)
0(0.0%)
0(0.0%)
2(2.8%)
1(1.4%)
16(22.2%)
4(5.6%)
2(2.8%)
0(0.0%)
0(0.0%)
2(2.8%)
1(1.4%)
0(0.0%)
22(30.6%)
0(0.0%)
11(15.3%)
9(12.5%)
0(0.0%)
1(1.4%)
1(1.4%)
102 (58.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
0(0.0%)
0(0.0%)
1(0.5%)
4(2.1%)
1(0.5%)
37(19.6%)
9(4.8%)
6(3.2%)
0(0.0%)
0(0.0%)
1(0.5%)
4(2.1%)
1(0.5%)
62(32.8%)
1(0.5%)
30(15.9%)
15(7.9%)
1(0.5%)
6(3.2%)
10(5.3%)
101 (34.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
1(0.2%)
1(0.2%)
14(2.9%)
5(1.0%)
0(0.0%)
61(12.4%)
10(2.0%)
13(2.6%)
1(0.2%)
0(0.0%)
17(3.5%)
11(2.2%)
4(0.8%)
161(32.8%)
0(0.0%)
37(7.5%)
33(6.7%)
1(0.2%)
64(13.0%)
57(11.6%)
596 (54.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_t [factor] 1. 1B 2. 1C 3. 2 4. 2A 5. 2B 6. 2C 7. 3A 8. 3B 9. Not_applicable.88 10. p0 11. p2 12. p2A 13. p2B 14. p2C 15. p3 16. p3A 17. p3B 18. p4 19. pX 20. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(50.0%)
1(12.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(37.5%)
8 (50.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM PATH N


All data

st_css() #IMPORTANT!
  tnmpathn <- as.factor(trimws(d[,"tnmpathn"]))
  levels(tnmpathn)[levels(tnmpathn)=="88"] <- "Not_applicable.88"

  new.d <- data.frame(new.d, tnmpathn)
  new.d <- apply_labels(new.d, tnmpathn = "tnm_path_n")

temp.d <- data.frame (new.d.1, tnmpathn)
summarytools::view(dfSummary(new.d$tnmpathn, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmpathn [labelled, factor] tnm_path_n 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
154(19.6%)
9(1.1%)
1(0.1%)
71(9.0%)
285(36.2%)
27(3.4%)
163(20.7%)
77(9.8%)
1380 (63.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
0(0.0%)
0(0.0%)
0(0.0%)
2(2.9%)
35(51.5%)
6(8.8%)
25(36.8%)
0(0.0%)
121 (64.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
0(0.0%)
0(0.0%)
0(0.0%)
4(7.1%)
31(55.4%)
2(3.6%)
19(33.9%)
0(0.0%)
118 (67.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
74(75.5%)
4(4.1%)
19(19.4%)
0(0.0%)
139 (58.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
24(96.0%)
1(4.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
149 (85.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
52(94.5%)
3(5.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
235 (81.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
73(15.2%)
5(1.0%)
1(0.2%)
64(13.3%)
145(30.2%)
15(3.1%)
100(20.8%)
77(16.0%)
607 (55.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_n [factor] 1. 0 2. 1 3. Not_applicable.88 4. c0 5. p0 6. p1 7. pX 8. X
5(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
11 (68.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM PATH M


All data

st_css() #IMPORTANT!
  tnmpathm <- as.factor(trimws(d[,"tnmpathm"]))
  levels(tnmpathm)[levels(tnmpathm)=="88"] <- "Not_applicable.88"

  new.d <- data.frame(new.d, tnmpathm)
  new.d <- apply_labels(new.d, tnmpathm = "tnm_path_m")

temp.d <- data.frame (new.d.1, tnmpathm)
summarytools::view(dfSummary(new.d$tnmpathm, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmpathm [labelled, factor] tnm_path_m 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
1(0.2%)
1(0.2%)
562(98.4%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1596 (73.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
0(0.0%)
0(0.0%)
42(97.7%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
146 (77.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
0(0.0%)
0(0.0%)
33(97.1%)
1(2.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
140 (80.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
0(0.0%)
0(0.0%)
67(98.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.5%)
169 (71.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
1(2.3%)
0(0.0%)
41(95.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
131 (75.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
0(0.0%)
0(0.0%)
116(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
174 (60.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C
0(0.0%)
1(0.4%)
263(98.5%)
0(0.0%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
820 (75.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_m [factor] 1. 0 2. Not_applicable.88 3. c0 4. c1 5. c1A 6. c1B 7. p1A 8. p1B 9. p1C All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM PATH STAGE GROUP


All data

st_css() #IMPORTANT!
  tnmpathstagegroup <- as.factor(trimws(d[,"tnmpathstagegroup"]))
  levels(tnmpathstagegroup)[levels(tnmpathstagegroup)=="99"] <- "Unknown.99"

  new.d <- data.frame(new.d, tnmpathstagegroup)
  new.d <- apply_labels(new.d, tnmpathstagegroup = "tnm_path_stage_group")

temp.d <- data.frame (new.d.1, tnmpathstagegroup)
summarytools::view(dfSummary(new.d$tnmpathstagegroup, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmpathstagegroup [labelled, factor] tnm_path_stage_group 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
10(0.8%)
6(0.5%)
5(0.4%)
36(2.7%)
182(13.8%)
55(4.2%)
1027(77.7%)
846 (39.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
1(1.0%)
1(1.0%)
0(0.0%)
0(0.0%)
8(7.7%)
7(6.7%)
87(83.7%)
85 (45.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15(13.9%)
3(2.8%)
90(83.3%)
66 (37.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
21(22.1%)
5(5.3%)
68(71.6%)
142 (59.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
0(0.0%)
0(0.0%)
5(4.0%)
32(25.4%)
18(14.3%)
9(7.1%)
62(49.2%)
48 (27.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
2(1.2%)
3(1.8%)
0(0.0%)
0(0.0%)
54(32.5%)
8(4.8%)
99(59.6%)
124 (42.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
6(0.8%)
2(0.3%)
0(0.0%)
0(0.0%)
65(9.1%)
23(3.2%)
617(86.5%)
374 (34.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_path_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
0(0.0%)
0(0.0%)
0(0.0%)
4(44.4%)
1(11.1%)
0(0.0%)
4(44.4%)
7 (43.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM CLIN T


All data

st_css() #IMPORTANT!
  tnmclint <- as.factor(trimws(d[,"tnmclint"]))
  levels(tnmclint)[levels(tnmclint)=="88"] <- "Not_applicable.88"

  new.d <- data.frame(new.d, tnmclint)
  new.d <- apply_labels(new.d, tnmclint = "tnm_clin_t")

temp.d <- data.frame (new.d.1, tnmclint)
summarytools::view(dfSummary(new.d$tnmclint, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmclint [labelled, factor] tnm_clin_t 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
1(0.1%)
1(0.1%)
2(0.1%)
2(0.1%)
316(17.4%)
24(1.3%)
15(0.8%)
9(0.5%)
18(1.0%)
2(0.1%)
4(0.2%)
5(0.3%)
5(0.3%)
22(1.2%)
4(0.2%)
2(0.1%)
1028(56.5%)
59(3.2%)
76(4.2%)
46(2.5%)
82(4.5%)
7(0.4%)
19(1.0%)
24(1.3%)
5(0.3%)
28(1.5%)
13(0.7%)
348 (16.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.8%)
1(0.8%)
0(0.0%)
87(70.2%)
6(4.8%)
7(5.6%)
4(3.2%)
10(8.1%)
0(0.0%)
0(0.0%)
3(2.4%)
1(0.8%)
4(3.2%)
0(0.0%)
65 (34.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
97(68.8%)
2(1.4%)
17(12.1%)
6(4.3%)
13(9.2%)
1(0.7%)
1(0.7%)
0(0.0%)
1(0.7%)
2(1.4%)
0(0.0%)
33 (19.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.2%)
1(0.6%)
1(0.6%)
105(64.8%)
9(5.6%)
13(8.0%)
5(3.1%)
16(9.9%)
1(0.6%)
2(1.2%)
3(1.9%)
0(0.0%)
4(2.5%)
0(0.0%)
75 (31.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
24(18.2%)
5(3.8%)
1(0.8%)
1(0.8%)
2(1.5%)
0(0.0%)
1(0.8%)
0(0.0%)
0(0.0%)
2(1.5%)
0(0.0%)
0(0.0%)
56(42.4%)
10(7.6%)
4(3.0%)
10(7.6%)
7(5.3%)
0(0.0%)
2(1.5%)
1(0.8%)
1(0.8%)
4(3.0%)
1(0.8%)
42 (24.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
0(0.0%)
1(0.4%)
1(0.4%)
0(0.0%)
73(25.9%)
10(3.5%)
3(1.1%)
2(0.7%)
3(1.1%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
4(1.4%)
0(0.0%)
0(0.0%)
126(44.7%)
16(5.7%)
10(3.5%)
5(1.8%)
5(1.8%)
0(0.0%)
6(2.1%)
5(1.8%)
1(0.4%)
7(2.5%)
2(0.7%)
8 (2.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
1(0.1%)
0(0.0%)
1(0.1%)
2(0.2%)
211(21.8%)
9(0.9%)
11(1.1%)
6(0.6%)
13(1.3%)
2(0.2%)
2(0.2%)
5(0.5%)
4(0.4%)
13(1.3%)
2(0.2%)
0(0.0%)
556(57.6%)
16(1.7%)
25(2.6%)
16(1.7%)
31(3.2%)
5(0.5%)
8(0.8%)
12(1.2%)
1(0.1%)
7(0.7%)
7(0.7%)
121 (11.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_t [factor] 1. 0 2. 1 3. 1A 4. 1B 5. 1C 6. 2 7. 2A 8. 2B 9. 2C 10. 3 11. 3A 12. 3B 13. 4 14. c1 15. c1A 16. c1B 17. c1C 18. c2 19. c2A 20. c2B 21. c2C 22. c3 23. c3A 24. c3B 25. c4 26. cX 27. X
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(66.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(8.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(25.0%)
4 (25.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM CLIN N


All data

st_css() #IMPORTANT!
  tnmclinn <- as.factor(trimws(d[,"tnmclinn"]))
  levels(tnmclinn)[levels(tnmclinn)=="88"] <- "Not_applicable.88"

  new.d <- data.frame(new.d, tnmclinn)
  new.d <- apply_labels(new.d, tnmclinn = "tnm_clin_n")

temp.d <- data.frame (new.d.1, tnmclinn)
summarytools::view(dfSummary(new.d$tnmclinn, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmclinn [labelled, factor] tnm_clin_n 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
396(26.0%)
8(0.5%)
1050(69.0%)
32(2.1%)
23(1.5%)
12(0.8%)
646 (29.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
0(0.0%)
0(0.0%)
116(93.5%)
3(2.4%)
5(4.0%)
0(0.0%)
65 (34.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
0(0.0%)
0(0.0%)
135(95.7%)
5(3.5%)
1(0.7%)
0(0.0%)
33 (19.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
0(0.0%)
0(0.0%)
144(90.0%)
12(7.5%)
4(2.5%)
0(0.0%)
77 (32.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
34(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
140 (80.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
96(99.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
193 (66.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
258(27.0%)
7(0.7%)
655(68.4%)
12(1.3%)
13(1.4%)
12(1.3%)
130 (12.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_n [factor] 1. 0 2. 1 3. c0 4. c1 5. cX 6. X
8(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8 (50.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM CLIN M


All data

st_css() #IMPORTANT!
  tnmclinm <- as.factor(trimws(d[,"tnmclinm"]))
  levels(tnmclinm)[levels(tnmclinm)=="88"] <- "Not_applicable.88"

  new.d <- data.frame(new.d, tnmclinm)
  new.d <- apply_labels(new.d, tnmclinm = "tnm_clin_m")

temp.d <- data.frame (new.d.1, tnmclinm)
summarytools::view(dfSummary(new.d$tnmclinm, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmclinm [labelled, factor] tnm_clin_m 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
385(25.8%)
2(0.1%)
5(0.3%)
1(0.1%)
2(0.1%)
1061(71.1%)
9(0.6%)
3(0.2%)
20(1.3%)
3(0.2%)
1(0.1%)
1(0.1%)
674 (31.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
118(96.7%)
0(0.0%)
1(0.8%)
3(2.5%)
0(0.0%)
0(0.0%)
0(0.0%)
67 (35.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
132(95.7%)
2(1.4%)
0(0.0%)
3(2.2%)
1(0.7%)
0(0.0%)
0(0.0%)
36 (20.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
149(94.3%)
3(1.9%)
1(0.6%)
3(1.9%)
2(1.3%)
0(0.0%)
0(0.0%)
79 (33.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
30(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
144 (82.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
89(98.9%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
200 (69.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
258(27.3%)
1(0.1%)
5(0.5%)
1(0.1%)
1(0.1%)
662(70.0%)
4(0.4%)
1(0.1%)
11(1.2%)
0(0.0%)
1(0.1%)
1(0.1%)
141 (13.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_m [factor] 1. 0 2. 1 3. 1B 4. 1C 5. Not_applicable.88 6. c0 7. c1 8. c1A 9. c1B 10. c1C 11. p1A 12. p1B
8(88.9%)
0(0.0%)
0(0.0%)
0(0.0%)
1(11.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
7 (43.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TNM CLIN STAGE GROUP


All data

st_css() #IMPORTANT!
  tnmclinstagegroup <- as.factor(trimws(d[,"tnmclinstagegroup"]))
  levels(tnmclinstagegroup)[levels(tnmclinstagegroup)=="88"] <- "Not_applicable.88"
  levels(tnmclinstagegroup)[levels(tnmclinstagegroup)=="99"] <- "Unknown.99"

    new.d <- data.frame(new.d, tnmclinstagegroup)
  new.d <- apply_labels(new.d, tnmclinstagegroup = "tnm_clin_stage_group")

temp.d <- data.frame (new.d.1, tnmclinstagegroup)
summarytools::view(dfSummary(new.d$tnmclinstagegroup, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tnmclinstagegroup [labelled, factor] tnm_clin_stage_group 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
352(36.9%)
22(2.3%)
179(18.7%)
126(13.2%)
45(4.7%)
78(8.2%)
153(16.0%)
1212 (55.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
31(54.4%)
3(5.3%)
0(0.0%)
0(0.0%)
3(5.3%)
5(8.8%)
15(26.3%)
132 (69.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
37(67.3%)
6(10.9%)
0(0.0%)
0(0.0%)
2(3.6%)
8(14.5%)
2(3.6%)
119 (68.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
32(49.2%)
4(6.2%)
0(0.0%)
0(0.0%)
4(6.2%)
14(21.5%)
11(16.9%)
172 (72.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
17(12.8%)
0(0.0%)
62(46.6%)
36(27.1%)
2(1.5%)
7(5.3%)
9(6.8%)
41 (23.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
46(16.1%)
3(1.1%)
111(38.9%)
90(31.6%)
11(3.9%)
7(2.5%)
17(6.0%)
5 (1.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
186(53.3%)
6(1.7%)
0(0.0%)
0(0.0%)
23(6.6%)
37(10.6%)
97(27.8%)
738 (67.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 tnm_clin_stage_group [factor] 1. 1 2. 2 3. 2A 4. 2B 5. 3 6. 4 7. Unknown.99
3(27.3%)
0(0.0%)
6(54.5%)
0(0.0%)
0(0.0%)
0(0.0%)
2(18.2%)
5 (31.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM CLIN T


All data

st_css() #IMPORTANT!
  ajcctnmclint <- as.factor(trimws(d[,"ajcctnmclint"]))
  levels(ajcctnmclint)[levels(ajcctnmclint)=="88"] <- "Not_applicable.88"

    new.d <- data.frame(new.d, ajcctnmclint)
  new.d <- apply_labels(new.d, ajcctnmclint = "ajcc_tnm_clin_t")

temp.d <- data.frame (new.d.1, ajcctnmclint)
summarytools::view(dfSummary(new.d$ajcctnmclint, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmclint [labelled, factor] ajcc_tnm_clin_t 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX
1(5.0%)
11(55.0%)
2(10.0%)
4(20.0%)
1(5.0%)
1(5.0%)
2147 (99.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX
1(5.3%)
10(52.6%)
2(10.5%)
4(21.1%)
1(5.3%)
1(5.3%)
155 (89.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_t [factor] 1. cT1a 2. cT1c 3. cT2 4. cT2a 5. cT3a 6. cTX All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM CLIN N


All data

st_css() #IMPORTANT!
  ajcctnmclinn <- as.factor(trimws(d[,"ajcctnmclinn"]))
  levels(ajcctnmclinn)[levels(ajcctnmclinn)=="88"] <- "Not_applicable.88"

    new.d <- data.frame(new.d, ajcctnmclinn)
  new.d <- apply_labels(new.d, ajcctnmclinn = "ajcc_tnm_clin_n")

temp.d <- data.frame (new.d.1, ajcctnmclinn)
summarytools::view(dfSummary(new.d$ajcctnmclinn, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmclinn [labelled, factor] ajcc_tnm_clin_n 1. cN0 2. cN1 3. cNX
19(90.5%)
1(4.8%)
1(4.8%)
2146 (99.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX
18(90.0%)
1(5.0%)
1(5.0%)
154 (88.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX
1(100.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_n [factor] 1. cN0 2. cN1 3. cNX All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM CLIN M


All data

st_css() #IMPORTANT!
  ajcctnmclinm <- as.factor(trimws(d[,"ajcctnmclinm"]))
  levels(ajcctnmclinm)[levels(ajcctnmclinm)=="88"] <- "Not_applicable.88"

    new.d <- data.frame(new.d, ajcctnmclinm)
  new.d <- apply_labels(new.d, ajcctnmclinm = "ajcc_tnm_clin_m")

temp.d <- data.frame (new.d.1, ajcctnmclinm)
summarytools::view(dfSummary(new.d$ajcctnmclinm, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmclinm [labelled, factor] ajcc_tnm_clin_m 1. cM0 2. cM1b 3. cM1c
19(90.5%)
1(4.8%)
1(4.8%)
2146 (99.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c
18(90.0%)
1(5.0%)
1(5.0%)
154 (88.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c
1(100.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_m [factor] 1. cM0 2. cM1b 3. cM1c All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM CLIN STAGE GROUP


All data

st_css() #IMPORTANT!
  ajcctnmclinstagegroup <- as.factor(trimws(d[,"ajcctnmclinstagegroup"]))
  levels(ajcctnmclinstagegroup)[levels(ajcctnmclinstagegroup)=="88"] <- "Not_applicable.88"
  levels(ajcctnmclinstagegroup)[levels(ajcctnmclinstagegroup)=="99"] <- "Unknown.99"

    new.d <- data.frame(new.d, ajcctnmclinstagegroup)
  new.d <- apply_labels(new.d, ajcctnmclinstagegroup = "ajcc_tnm_clin_stage_group")

temp.d <- data.frame (new.d.1, ajcctnmclinstagegroup)
summarytools::view(dfSummary(new.d$ajcctnmclinstagegroup, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmclinstagegroup [labelled, factor] ajcc_tnm_clin_stage_group 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99
4(14.3%)
2(7.1%)
3(10.7%)
5(17.9%)
1(3.6%)
1(3.6%)
1(3.6%)
2(7.1%)
9(32.1%)
2139 (98.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99
3(11.5%)
2(7.7%)
3(11.5%)
5(19.2%)
1(3.8%)
1(3.8%)
1(3.8%)
2(7.7%)
8(30.8%)
148 (85.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_clin_stage_group [factor] 1. 1 2. 2A 3. 2B 4. 2C 5. 3A 6. 3B 7. 3C 8. 4B 9. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM PATH T


All data

st_css() #IMPORTANT!
  ajcctnmpatht <- as.factor(trimws(d[,"ajcctnmpatht"]))
  levels(ajcctnmpatht)[levels(ajcctnmpatht)=="88"] <- "Not_applicable.88"

    new.d <- data.frame(new.d, ajcctnmpatht)
  new.d <- apply_labels(new.d, ajcctnmpatht = "ajcc_tnm_path_t")

temp.d <- data.frame (new.d.1, ajcctnmpatht)
summarytools::view(dfSummary(new.d$ajcctnmpatht, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmpatht [labelled, factor] ajcc_tnm_path_t 1. pT1b 2. pT2 3. pT3a
1(20.0%)
2(40.0%)
2(40.0%)
2162 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a
0(0.0%)
2(50.0%)
2(50.0%)
170 (97.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a
1(100.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_t [factor] 1. pT1b 2. pT2 3. pT3a All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM PATH N


All data

st_css() #IMPORTANT!
  ajcctnmpathn <- as.factor(trimws(d[,"ajcctnmpathn"]))
  levels(ajcctnmpathn)[levels(ajcctnmpathn)=="88"] <- "Not_applicable.88"

    new.d <- data.frame(new.d, ajcctnmpathn)
  new.d <- apply_labels(new.d, ajcctnmpathn = "ajcc_tnm_path_n")

temp.d <- data.frame (new.d.1, ajcctnmpathn)
summarytools::view(dfSummary(new.d$ajcctnmpathn, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmpathn [labelled, factor] ajcc_tnm_path_n 1. pN0 2. pNX
4(80.0%)
1(20.0%)
2162 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX
3(75.0%)
1(25.0%)
170 (97.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX
1(100.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_n [factor] 1. pN0 2. pNX All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM PATH M


All data

st_css() #IMPORTANT!
  ajcctnmpathm <- as.factor(trimws(d[,"ajcctnmpathm"]))
  levels(ajcctnmpathm)[levels(ajcctnmpathm)=="88"] <- "Not_applicable.88"

    new.d <- data.frame(new.d, ajcctnmpathm)
  new.d <- apply_labels(new.d, ajcctnmpathm = "ajcc_tnm_path_m")

temp.d <- data.frame (new.d.1, ajcctnmpathm)
summarytools::view(dfSummary(new.d$ajcctnmpathm, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmpathm [labelled, factor] ajcc_tnm_path_m 1. cM0
5(100.0%)
2162 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0
4(100.0%)
170 (97.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0
1(100.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_m [factor] 1. cM0 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


AJCC TNM PATH STAGE GROUP


All data

st_css() #IMPORTANT!
  ajcctnmpathstagegroup <- as.factor(trimws(d[,"ajcctnmpathstagegroup"]))
  levels(ajcctnmpathstagegroup)[levels(ajcctnmpathstagegroup)=="88"] <- "Not_applicable.88"
  levels(ajcctnmpathstagegroup)[levels(ajcctnmpathstagegroup)=="99"] <- "Unknown.99"

    new.d <- data.frame(new.d, ajcctnmpathstagegroup)
  new.d <- apply_labels(new.d, ajcctnmpathstagegroup = "ajcc_tnm_path_stage_group")

temp.d <- data.frame (new.d.1, ajcctnmpathstagegroup)
summarytools::view(dfSummary(new.d$ajcctnmpathstagegroup, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 ajcctnmpathstagegroup [labelled, factor] ajcc_tnm_path_stage_group 1. 1B 2. 3B 3. 3C 4. Unknown.99
1(3.6%)
1(3.6%)
1(3.6%)
25(89.3%)
2139 (98.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99
0(0.0%)
1(3.8%)
1(3.8%)
24(92.3%)
148 (85.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99
1(50.0%)
0(0.0%)
0(0.0%)
1(50.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 ajcc_tnm_path_stage_group [factor] 1. 1B 2. 3B 3. 3C 4. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


TUMOR MARKER 2


All data

st_css() #IMPORTANT!
  tumormarker2 <- as.factor(trimws(d[,"tumormarker2"]))

    new.d <- data.frame(new.d, tumormarker2)
  new.d <- apply_labels(new.d, tumormarker2 = "tumor_marker2")

temp.d <- data.frame (new.d.1, tumormarker2)
summarytools::view(dfSummary(new.d$tumormarker2, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 tumormarker2 [labelled, factor] tumor_marker2 No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE SURGERY


All data

st_css() #IMPORTANT!
  rxdatesurgery <- as.factor(d[,"rxdatesurgery"])
  
    new.d <- data.frame(new.d, rxdatesurgery)
    new.d <- apply_labels(new.d, rxdatesurgery = "rx_date_surgery")
    #summary(new.d$rxdatesurgery)
temp.d <- data.frame (new.d.1, rxdatesurgery)
summarytools::view(dfSummary(new.d$rxdatesurgery, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatesurgery [labelled, factor] rx_date_surgery 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
1(0.1%)
5(0.5%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
3(0.3%)
7(0.7%)
2(0.2%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
2(0.2%)
5(0.5%)
2(0.2%)
6(0.6%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
11(1.1%)
1(0.1%)
2(0.2%)
3(0.3%)
1(0.1%)
923(90.0%)
1142 (52.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(4.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
91(86.7%)
84 (44.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
45(93.8%)
126 (72.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
128(88.9%)
93 (39.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(3.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
78(91.8%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
2(1.1%)
1(0.5%)
0(0.0%)
3(1.6%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
160(87.9%)
108 (37.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
2(0.4%)
0(0.0%)
0(0.0%)
2(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
3(0.7%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
2(0.4%)
1(0.2%)
0(0.0%)
3(0.7%)
1(0.2%)
1(0.2%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
1(0.2%)
2(0.4%)
2(0.4%)
1(0.2%)
421(92.7%)
633 (58.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_surgery [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150522 43. 20150527 44. 20150528 45. 20150599 46. 201506 
·
47. 20150601 48. 20150603 49. 20150605 50. 20150610 [ 417 others ]
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
9 (56.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE RADIATION


All data

st_css() #IMPORTANT!
  rxdateradiation <- as.factor(d[,"rxdateradiation"])
  
    new.d <- data.frame(new.d, rxdateradiation)
    new.d <- apply_labels(new.d, rxdateradiation = "rx_date_radiation")
    #summary(new.d$rxdateradiation)
temp.d <- data.frame (new.d.1, rxdateradiation)
summarytools::view(dfSummary(new.d$rxdateradiation, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdateradiation [labelled, factor] rx_date_radiation 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
3(0.4%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
3(0.4%)
1(0.1%)
1(0.1%)
3(0.4%)
1(0.1%)
2(0.2%)
1(0.1%)
2(0.2%)
6(0.7%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
6(0.7%)
1(0.1%)
5(0.6%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
4(0.5%)
1(0.1%)
1(0.1%)
1(0.1%)
4(0.5%)
1(0.1%)
1(0.1%)
1(0.1%)
3(0.4%)
1(0.1%)
2(0.2%)
2(0.2%)
2(0.2%)
747(89.4%)
1331 (61.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(6.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(4.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
40(85.1%)
142 (75.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
72(92.3%)
96 (55.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(3.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(3.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
53(89.8%)
178 (75.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(3.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
57(95.0%)
114 (65.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
89(91.8%)
193 (66.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.2%)
1(0.2%)
1(0.2%)
0(0.0%)
1(0.2%)
2(0.4%)
0(0.0%)
2(0.4%)
1(0.2%)
1(0.2%)
3(0.6%)
1(0.2%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
0(0.0%)
1(0.2%)
5(1.0%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
3(0.6%)
1(0.2%)
1(0.2%)
0(0.0%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
2(0.4%)
1(0.2%)
2(0.4%)
435(88.8%)
597 (54.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_radiation [factor] 1. 20130599 2. 20130699 3. 20140799 4. 20150199 5. 20150205 6. 20150224 7. 201503 
·
8. 20150317 9. 20150323 10. 20150326 11. 201504 
·
12. 20150401 13. 20150407 14. 20150409 15. 20150420 16. 20150423 17. 20150428 18. 20150429 19. 20150499 20. 201505 
·
21. 20150504 22. 20150506 23. 20150509 24. 20150511 25. 20150514 26. 20150520 27. 20150521 28. 20150526 29. 20150527 30. 201506 
·
31. 20150601 32. 20150602 33. 20150606 34. 20150608 35. 20150609 36. 20150615 37. 20150617 38. 20150618 39. 20150622 40. 20150625 41. 20150699 42. 201507 
·
43. 20150701 44. 20150706 45. 20150708 46. 20150713 47. 20150714 48. 20150715 49. 20150716 50. 20150720 [ 381 others ]
1(20.0%)
1(20.0%)
1(20.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
11 (68.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE CHEMO


All data

st_css() #IMPORTANT!
  rxdatechemo <- as.factor(d[,"rxdatechemo"])
  
    new.d <- data.frame(new.d, rxdatechemo)
    new.d <- apply_labels(new.d, rxdatechemo = "rx_date_chemo")
    #summary(new.d$rxdatechemo)
temp.d <- data.frame (new.d.1, rxdatechemo)
summarytools::view(dfSummary(new.d$rxdatechemo, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatechemo [labelled, factor] rx_date_chemo 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
4(13.8%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
1(3.4%)
2138 (98.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
188 (99.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(75.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
170 (97.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
1(14.3%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
230 (97.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
289 (99.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1071 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_chemo [factor] 1. 201503 
·
2. 20150423 3. 20150515 4. 201509 
·
5. 20151022 6. 20151202 7. 20160120 8. 20160223 9. 201604 
·
10. 201606 
·
11. 20160608 12. 20160720 13. 201608 
·
14. 201610 
·
15. 20161021 16. 20161111 17. 20161122 18. 20161130 19. 201612 
·
20. 201701 
·
21. 20170119 22. 201702 
·
23. 20170202 24. 20170516 25. 20170601 26. 20180403
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE HORMONE


All data

st_css() #IMPORTANT!
  rxdatehormone <- as.factor(d[,"rxdatehormone"])
  
    new.d <- data.frame(new.d, rxdatehormone)
    new.d <- apply_labels(new.d, rxdatehormone = "rx_date_hormone")
    #summary(new.d$rxdatehormone)
temp.d <- data.frame (new.d.1, rxdatehormone)
summarytools::view(dfSummary(new.d$rxdatehormone, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatehormone [labelled, factor] rx_date_hormone 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
5(1.1%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
6(1.3%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
4(0.9%)
1(0.2%)
399(85.1%)
1698 (78.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
32(86.5%)
152 (80.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
41(89.1%)
128 (73.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(7.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(7.0%)
0(0.0%)
34(79.1%)
194 (81.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
39(90.7%)
131 (75.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
1(1.3%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
1(1.3%)
1(1.3%)
0(0.0%)
1(1.3%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
62(80.5%)
213 (73.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
0(0.0%)
1(0.5%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
2(0.9%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
2(0.9%)
1(0.5%)
2(0.9%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
191(86.0%)
865 (79.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_hormone [factor] 1. 20130499 2. 201501 
·
3. 20150116 4. 20150126 5. 201502 
·
6. 20150210 7. 20150211 8. 20150217 9. 201503 
·
10. 20150306 11. 20150326 12. 20150399 13. 201504 
·
14. 20150401 15. 20150410 16. 20150415 17. 20150428 18. 20150499 19. 201505 
·
20. 20150504 21. 20150505 22. 20150507 23. 20150509 24. 20150514 25. 20150519 26. 20150521 27. 20150526 28. 20150528 29. 201506 
·
30. 20150601 31. 20150602 32. 20150604 33. 20150608 34. 20150611 35. 20150612 36. 20150615 37. 20150616 38. 20150618 39. 20150619 40. 20150623 41. 20150625 42. 20150626 43. 20150627 44. 20150699 45. 20150702 46. 20150709 47. 20150727 48. 20150799 49. 201508 
·
50. 20150801 [ 235 others ]
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15 (93.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE BRM


All data

st_css() #IMPORTANT!
  rxdatebrm <- as.factor(d[,"rxdatebrm"])
  
    new.d <- data.frame(new.d, rxdatebrm)
    new.d <- apply_labels(new.d, rxdatebrm = "rx_date_brm")
    #summary(new.d$rxdatebrm)
temp.d <- data.frame (new.d.1, rxdatebrm)
summarytools::view(dfSummary(new.d$rxdatebrm, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatebrm [labelled, factor] rx_date_brm 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
1(20.0%)
1(20.0%)
1(20.0%)
1(20.0%)
1(20.0%)
2162 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
236 (99.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
1(25.0%)
1(25.0%)
1(25.0%)
1(25.0%)
0(0.0%)
1083 (99.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_brm [factor] 1. 20160308 2. 20160921 3. 20170130 4. 20170215 5. 201705 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE OTHER


All data

st_css() #IMPORTANT!
  rxdateother <- as.factor(d[,"rxdateother"])
  
    new.d <- data.frame(new.d, rxdateother)
    new.d <- apply_labels(new.d, rxdateother = "rx_date_other")
    #summary(new.d$rxdateother)
temp.d <- data.frame (new.d.1, rxdateother)
summarytools::view(dfSummary(new.d$rxdateother, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdateother [labelled, factor] rx_date_other 1. 20150911 2. 201605 
·
3. 20160711
1(33.3%)
1(33.3%)
1(33.3%)
2164 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
0(0.0%)
1(100.0%)
0(0.0%)
236 (99.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
1(50.0%)
0(0.0%)
1(50.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_other [factor] 1. 20150911 2. 201605 
·
3. 20160711
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DATE INITIAL RX SEER


All data

st_css() #IMPORTANT!
  dateinitialrxseer <- as.factor(d[,"dateinitialrxseer"])
  
    new.d <- data.frame(new.d, dateinitialrxseer)
    new.d <- apply_labels(new.d, dateinitialrxseer = "date_initial_rx_seer")
    #summary(new.d$dateinitialrxseer)
temp.d <- data.frame (new.d.1, dateinitialrxseer)
summarytools::view(dfSummary(new.d$dateinitialrxseer, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 dateinitialrxseer [labelled, factor] date_initial_rx_seer 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
3(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
4(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.1%)
1(0.1%)
1(0.1%)
8(0.4%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.1%)
1(0.1%)
5(0.3%)
4(0.2%)
13(0.7%)
6(0.3%)
1(0.1%)
2(0.1%)
2(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
3(0.2%)
2(0.1%)
3(0.2%)
2(0.1%)
1(0.1%)
2(0.1%)
2(0.1%)
8(0.4%)
1(0.1%)
4(0.2%)
1727(94.1%)
332 (15.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(3.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
145(93.5%)
34 (18.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
125(96.2%)
44 (25.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
2(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
196(93.8%)
28 (11.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.8%)
133(94.3%)
33 (19.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
2(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
2(0.8%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
3(1.1%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
4(1.5%)
0(0.0%)
0(0.0%)
241(91.3%)
26 (9.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.1%)
1(0.1%)
0(0.0%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
0(0.0%)
1(0.1%)
5(0.5%)
0(0.0%)
0(0.0%)
5(0.5%)
0(0.0%)
0(0.0%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
2(0.2%)
2(0.2%)
2(0.2%)
1(0.1%)
2(0.2%)
1(0.1%)
4(0.4%)
1(0.1%)
0(0.0%)
886(95.8%)
162 (14.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_initial_rx_seer [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20130499 5. 20130699 6. 20131199 7. 20140299 8. 20140599 9. 20141199 10. 2015 
·
11. 201501 
·
12. 20150116 13. 20150126 14. 20150199 15. 201502 
·
16. 20150205 17. 20150210 18. 20150211 19. 20150212 20. 20150217 21. 20150219 22. 20150223 23. 20150224 24. 20150226 25. 201503 
·
26. 20150306 27. 20150310 28. 20150316 29. 20150317 30. 20150323 31. 20150326 32. 20150399 33. 201504 
·
34. 20150401 35. 20150402 36. 20150406 37. 20150407 38. 20150409 39. 20150410 40. 20150413 41. 20150414 42. 20150415 43. 20150416 44. 20150420 45. 20150421 46. 20150423 47. 20150427 48. 20150428 49. 20150429 50. 20150499 [ 552 others ]
1(9.1%)
1(9.1%)
1(9.1%)
1(9.1%)
1(9.1%)
1(9.1%)
1(9.1%)
1(9.1%)
1(9.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(9.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(9.1%)
5 (31.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE DX/STG PROC


All data

st_css() #IMPORTANT!
  rxdatedxstgproc <- as.factor(d[,"rxdatedxstgproc"])
  
    new.d <- data.frame(new.d, rxdatedxstgproc)
    new.d <- apply_labels(new.d, rxdatedxstgproc = "rx_date_dxstg_proc")
    #summary(new.d$rxdatedxstgproc)
temp.d <- data.frame (new.d.1, rxdatedxstgproc)
summarytools::view(dfSummary(new.d$rxdatedxstgproc, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatedxstgproc [labelled, factor] rx_date_dxstg_proc 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 [ 162 others ]
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
2(0.7%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
223(78.8%)
1884 (86.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 51. 20150707 52. 20150709 53. 20150710 54. 20150715 55. 20150717 56. 20150721 57. 20150724 58. 20150727 59. 20150730 60. 20150803 61. 20150805 62. 20150810 63. 20150813 64. 20150818 65. 20150824 66. 20150827 67. 20150908 68. 20150909 69. 20150910 70. 20150911 71. 20150917 72. 20150922 73. 20150924 74. 20150930 75. 20151001 76. 20151007 77. 20151019 78. 20151021 79. 20151023 80. 20151030 81. 20151103 82. 20151104 83. 20151105 84. 20151110 85. 20151113 86. 20151117 87. 20151130 88. 20151201 89. 20151202 90. 20151204 91. 20151218 92. 20151228 93. 20151229 94. 20151230 95. 2016 
·
96. 201601 
·
97. 20160104 98. 20160106 99. 20160107 100. 20160115 101. 20160120 102. 20160125 103. 20160126 104. 20160128 105. 20160205 106. 20160208 107. 20160210 108. 20160215 109. 20160224 110. 20160225 111. 20160226 112. 201603 
·
113. 20160310 114. 20160311 115. 20160315 116. 20160318 117. 20160321 118. 20160322 119. 20160324 120. 20160329 121. 20160330 122. 201604 
·
123. 20160401 124. 20160405 125. 20160411 126. 20160412 127. 20160415 128. 20160418 129. 20160419 130. 20160425 131. 20160426 132. 20160429 133. 20160504 134. 20160505 135. 20160509 136. 20160510 137. 20160512 138. 20160516 139. 20160518 140. 20160519 141. 20160520 142. 20160526 143. 20160531 144. 201606 
·
145. 20160602 146. 20160607 147. 20160608 148. 20160610 149. 20160613 150. 20160615 151. 20160616 152. 20160617 153. 20160621 154. 20160622 155. 20160630 156. 20160701 157. 20160705 158. 20160711 159. 20160712 160. 20160714 161. 20160718 162. 20160721 163. 20160726 164. 20160728 165. 20160801 166. 20160802 167. 20160803 168. 20160804 169. 20160805 170. 20160809 171. 20160812 172. 20160817 173. 20160824 174. 20160825 175. 20160831 176. 20160906 177. 20160908 178. 20160909 179. 20160912 180. 20160913 181. 20160916 182. 20160920 183. 20160922 184. 20160923 185. 20160926 186. 20161007 187. 20161010 188. 20161012 189. 20161013 190. 20161017 191. 20161019 192. 20161020 193. 20161021 194. 20161031 195. 20161108 196. 20161109 197. 20161115 198. 20161117 199. 20161122 200. 20161123 201. 20161128 202. 20161130 203. 20161205 204. 20161207 205. 20161208 206. 20161212 207. 20161213 208. 20161214 209. 20161216 210. 20161219 211. 20161221 212. 20161230
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 51. 20150707 52. 20150709 53. 20150710 54. 20150715 55. 20150717 56. 20150721 57. 20150724 58. 20150727 59. 20150730 60. 20150803 61. 20150805 62. 20150810 63. 20150813 64. 20150818 65. 20150824 66. 20150827 67. 20150908 68. 20150909 69. 20150910 70. 20150911 71. 20150917 72. 20150922 73. 20150924 74. 20150930 75. 20151001 76. 20151007 77. 20151019 78. 20151021 79. 20151023 80. 20151030 81. 20151103 82. 20151104 83. 20151105 84. 20151110 85. 20151113 86. 20151117 87. 20151130 88. 20151201 89. 20151202 90. 20151204 91. 20151218 92. 20151228 93. 20151229 94. 20151230 95. 2016 
·
96. 201601 
·
97. 20160104 98. 20160106 99. 20160107 100. 20160115 101. 20160120 102. 20160125 103. 20160126 104. 20160128 105. 20160205 106. 20160208 107. 20160210 108. 20160215 109. 20160224 110. 20160225 111. 20160226 112. 201603 
·
113. 20160310 114. 20160311 115. 20160315 116. 20160318 117. 20160321 118. 20160322 119. 20160324 120. 20160329 121. 20160330 122. 201604 
·
123. 20160401 124. 20160405 125. 20160411 126. 20160412 127. 20160415 128. 20160418 129. 20160419 130. 20160425 131. 20160426 132. 20160429 133. 20160504 134. 20160505 135. 20160509 136. 20160510 137. 20160512 138. 20160516 139. 20160518 140. 20160519 141. 20160520 142. 20160526 143. 20160531 144. 201606 
·
145. 20160602 146. 20160607 147. 20160608 148. 20160610 149. 20160613 150. 20160615 151. 20160616 152. 20160617 153. 20160621 154. 20160622 155. 20160630 156. 20160701 157. 20160705 158. 20160711 159. 20160712 160. 20160714 161. 20160718 162. 20160721 163. 20160726 164. 20160728 165. 20160801 166. 20160802 167. 20160803 168. 20160804 169. 20160805 170. 20160809 171. 20160812 172. 20160817 173. 20160824 174. 20160825 175. 20160831 176. 20160906 177. 20160908 178. 20160909 179. 20160912 180. 20160913 181. 20160916 182. 20160920 183. 20160922 184. 20160923 185. 20160926 186. 20161007 187. 20161010 188. 20161012 189. 20161013 190. 20161017 191. 20161019 192. 20161020 193. 20161021 194. 20161031 195. 20161108 196. 20161109 197. 20161115 198. 20161117 199. 20161122 200. 20161123 201. 20161128 202. 20161130 203. 20161205 204. 20161207 205. 20161208 206. 20161212 207. 20161213 208. 20161214 209. 20161216 210. 20161219 211. 20161221 212. 20161230
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 51. 20150707 52. 20150709 53. 20150710 54. 20150715 55. 20150717 56. 20150721 57. 20150724 58. 20150727 59. 20150730 60. 20150803 61. 20150805 62. 20150810 63. 20150813 64. 20150818 65. 20150824 66. 20150827 67. 20150908 68. 20150909 69. 20150910 70. 20150911 71. 20150917 72. 20150922 73. 20150924 74. 20150930 75. 20151001 76. 20151007 77. 20151019 78. 20151021 79. 20151023 80. 20151030 81. 20151103 82. 20151104 83. 20151105 84. 20151110 85. 20151113 86. 20151117 87. 20151130 88. 20151201 89. 20151202 90. 20151204 91. 20151218 92. 20151228 93. 20151229 94. 20151230 95. 2016 
·
96. 201601 
·
97. 20160104 98. 20160106 99. 20160107 100. 20160115 101. 20160120 102. 20160125 103. 20160126 104. 20160128 105. 20160205 106. 20160208 107. 20160210 108. 20160215 109. 20160224 110. 20160225 111. 20160226 112. 201603 
·
113. 20160310 114. 20160311 115. 20160315 116. 20160318 117. 20160321 118. 20160322 119. 20160324 120. 20160329 121. 20160330 122. 201604 
·
123. 20160401 124. 20160405 125. 20160411 126. 20160412 127. 20160415 128. 20160418 129. 20160419 130. 20160425 131. 20160426 132. 20160429 133. 20160504 134. 20160505 135. 20160509 136. 20160510 137. 20160512 138. 20160516 139. 20160518 140. 20160519 141. 20160520 142. 20160526 143. 20160531 144. 201606 
·
145. 20160602 146. 20160607 147. 20160608 148. 20160610 149. 20160613 150. 20160615 151. 20160616 152. 20160617 153. 20160621 154. 20160622 155. 20160630 156. 20160701 157. 20160705 158. 20160711 159. 20160712 160. 20160714 161. 20160718 162. 20160721 163. 20160726 164. 20160728 165. 20160801 166. 20160802 167. 20160803 168. 20160804 169. 20160805 170. 20160809 171. 20160812 172. 20160817 173. 20160824 174. 20160825 175. 20160831 176. 20160906 177. 20160908 178. 20160909 179. 20160912 180. 20160913 181. 20160916 182. 20160920 183. 20160922 184. 20160923 185. 20160926 186. 20161007 187. 20161010 188. 20161012 189. 20161013 190. 20161017 191. 20161019 192. 20161020 193. 20161021 194. 20161031 195. 20161108 196. 20161109 197. 20161115 198. 20161117 199. 20161122 200. 20161123 201. 20161128 202. 20161130 203. 20161205 204. 20161207 205. 20161208 206. 20161212 207. 20161213 208. 20161214 209. 20161216 210. 20161219 211. 20161221 212. 20161230
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 51. 20150707 52. 20150709 53. 20150710 54. 20150715 55. 20150717 56. 20150721 57. 20150724 58. 20150727 59. 20150730 60. 20150803 61. 20150805 62. 20150810 63. 20150813 64. 20150818 65. 20150824 66. 20150827 67. 20150908 68. 20150909 69. 20150910 70. 20150911 71. 20150917 72. 20150922 73. 20150924 74. 20150930 75. 20151001 76. 20151007 77. 20151019 78. 20151021 79. 20151023 80. 20151030 81. 20151103 82. 20151104 83. 20151105 84. 20151110 85. 20151113 86. 20151117 87. 20151130 88. 20151201 89. 20151202 90. 20151204 91. 20151218 92. 20151228 93. 20151229 94. 20151230 95. 2016 
·
96. 201601 
·
97. 20160104 98. 20160106 99. 20160107 100. 20160115 101. 20160120 102. 20160125 103. 20160126 104. 20160128 105. 20160205 106. 20160208 107. 20160210 108. 20160215 109. 20160224 110. 20160225 111. 20160226 112. 201603 
·
113. 20160310 114. 20160311 115. 20160315 116. 20160318 117. 20160321 118. 20160322 119. 20160324 120. 20160329 121. 20160330 122. 201604 
·
123. 20160401 124. 20160405 125. 20160411 126. 20160412 127. 20160415 128. 20160418 129. 20160419 130. 20160425 131. 20160426 132. 20160429 133. 20160504 134. 20160505 135. 20160509 136. 20160510 137. 20160512 138. 20160516 139. 20160518 140. 20160519 141. 20160520 142. 20160526 143. 20160531 144. 201606 
·
145. 20160602 146. 20160607 147. 20160608 148. 20160610 149. 20160613 150. 20160615 151. 20160616 152. 20160617 153. 20160621 154. 20160622 155. 20160630 156. 20160701 157. 20160705 158. 20160711 159. 20160712 160. 20160714 161. 20160718 162. 20160721 163. 20160726 164. 20160728 165. 20160801 166. 20160802 167. 20160803 168. 20160804 169. 20160805 170. 20160809 171. 20160812 172. 20160817 173. 20160824 174. 20160825 175. 20160831 176. 20160906 177. 20160908 178. 20160909 179. 20160912 180. 20160913 181. 20160916 182. 20160920 183. 20160922 184. 20160923 185. 20160926 186. 20161007 187. 20161010 188. 20161012 189. 20161013 190. 20161017 191. 20161019 192. 20161020 193. 20161021 194. 20161031 195. 20161108 196. 20161109 197. 20161115 198. 20161117 199. 20161122 200. 20161123 201. 20161128 202. 20161130 203. 20161205 204. 20161207 205. 20161208 206. 20161212 207. 20161213 208. 20161214 209. 20161216 210. 20161219 211. 20161221 212. 20161230
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 [ 162 others ]
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
2(0.7%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
2(0.7%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
2(0.7%)
223(78.8%)
7 (2.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 51. 20150707 52. 20150709 53. 20150710 54. 20150715 55. 20150717 56. 20150721 57. 20150724 58. 20150727 59. 20150730 60. 20150803 61. 20150805 62. 20150810 63. 20150813 64. 20150818 65. 20150824 66. 20150827 67. 20150908 68. 20150909 69. 20150910 70. 20150911 71. 20150917 72. 20150922 73. 20150924 74. 20150930 75. 20151001 76. 20151007 77. 20151019 78. 20151021 79. 20151023 80. 20151030 81. 20151103 82. 20151104 83. 20151105 84. 20151110 85. 20151113 86. 20151117 87. 20151130 88. 20151201 89. 20151202 90. 20151204 91. 20151218 92. 20151228 93. 20151229 94. 20151230 95. 2016 
·
96. 201601 
·
97. 20160104 98. 20160106 99. 20160107 100. 20160115 101. 20160120 102. 20160125 103. 20160126 104. 20160128 105. 20160205 106. 20160208 107. 20160210 108. 20160215 109. 20160224 110. 20160225 111. 20160226 112. 201603 
·
113. 20160310 114. 20160311 115. 20160315 116. 20160318 117. 20160321 118. 20160322 119. 20160324 120. 20160329 121. 20160330 122. 201604 
·
123. 20160401 124. 20160405 125. 20160411 126. 20160412 127. 20160415 128. 20160418 129. 20160419 130. 20160425 131. 20160426 132. 20160429 133. 20160504 134. 20160505 135. 20160509 136. 20160510 137. 20160512 138. 20160516 139. 20160518 140. 20160519 141. 20160520 142. 20160526 143. 20160531 144. 201606 
·
145. 20160602 146. 20160607 147. 20160608 148. 20160610 149. 20160613 150. 20160615 151. 20160616 152. 20160617 153. 20160621 154. 20160622 155. 20160630 156. 20160701 157. 20160705 158. 20160711 159. 20160712 160. 20160714 161. 20160718 162. 20160721 163. 20160726 164. 20160728 165. 20160801 166. 20160802 167. 20160803 168. 20160804 169. 20160805 170. 20160809 171. 20160812 172. 20160817 173. 20160824 174. 20160825 175. 20160831 176. 20160906 177. 20160908 178. 20160909 179. 20160912 180. 20160913 181. 20160916 182. 20160920 183. 20160922 184. 20160923 185. 20160926 186. 20161007 187. 20161010 188. 20161012 189. 20161013 190. 20161017 191. 20161019 192. 20161020 193. 20161021 194. 20161031 195. 20161108 196. 20161109 197. 20161115 198. 20161117 199. 20161122 200. 20161123 201. 20161128 202. 20161130 203. 20161205 204. 20161207 205. 20161208 206. 20161212 207. 20161213 208. 20161214 209. 20161216 210. 20161219 211. 20161221 212. 20161230
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_dxstg_proc [factor] 1. 2015 
·
2. 20150101 3. 20150106 4. 20150112 5. 20150114 6. 20150115 7. 20150116 8. 20150119 9. 20150202 10. 20150210 11. 20150212 12. 20150216 13. 20150218 14. 20150220 15. 201503 
·
16. 20150302 17. 20150303 18. 20150304 19. 20150305 20. 20150310 21. 20150311 22. 20150323 23. 20150326 24. 20150402 25. 20150406 26. 20150407 27. 20150413 28. 20150416 29. 20150417 30. 20150423 31. 20150424 32. 20150511 33. 20150513 34. 20150515 35. 20150519 36. 20150520 37. 20150521 38. 20150526 39. 20150528 40. 20150603 41. 20150604 42. 20150609 43. 20150616 44. 20150617 45. 20150619 46. 20150622 47. 20150623 48. 20150624 49. 20150625 50. 20150629 51. 20150707 52. 20150709 53. 20150710 54. 20150715 55. 20150717 56. 20150721 57. 20150724 58. 20150727 59. 20150730 60. 20150803 61. 20150805 62. 20150810 63. 20150813 64. 20150818 65. 20150824 66. 20150827 67. 20150908 68. 20150909 69. 20150910 70. 20150911 71. 20150917 72. 20150922 73. 20150924 74. 20150930 75. 20151001 76. 20151007 77. 20151019 78. 20151021 79. 20151023 80. 20151030 81. 20151103 82. 20151104 83. 20151105 84. 20151110 85. 20151113 86. 20151117 87. 20151130 88. 20151201 89. 20151202 90. 20151204 91. 20151218 92. 20151228 93. 20151229 94. 20151230 95. 2016 
·
96. 201601 
·
97. 20160104 98. 20160106 99. 20160107 100. 20160115 101. 20160120 102. 20160125 103. 20160126 104. 20160128 105. 20160205 106. 20160208 107. 20160210 108. 20160215 109. 20160224 110. 20160225 111. 20160226 112. 201603 
·
113. 20160310 114. 20160311 115. 20160315 116. 20160318 117. 20160321 118. 20160322 119. 20160324 120. 20160329 121. 20160330 122. 201604 
·
123. 20160401 124. 20160405 125. 20160411 126. 20160412 127. 20160415 128. 20160418 129. 20160419 130. 20160425 131. 20160426 132. 20160429 133. 20160504 134. 20160505 135. 20160509 136. 20160510 137. 20160512 138. 20160516 139. 20160518 140. 20160519 141. 20160520 142. 20160526 143. 20160531 144. 201606 
·
145. 20160602 146. 20160607 147. 20160608 148. 20160610 149. 20160613 150. 20160615 151. 20160616 152. 20160617 153. 20160621 154. 20160622 155. 20160630 156. 20160701 157. 20160705 158. 20160711 159. 20160712 160. 20160714 161. 20160718 162. 20160721 163. 20160726 164. 20160728 165. 20160801 166. 20160802 167. 20160803 168. 20160804 169. 20160805 170. 20160809 171. 20160812 172. 20160817 173. 20160824 174. 20160825 175. 20160831 176. 20160906 177. 20160908 178. 20160909 179. 20160912 180. 20160913 181. 20160916 182. 20160920 183. 20160922 184. 20160923 185. 20160926 186. 20161007 187. 20161010 188. 20161012 189. 20161013 190. 20161017 191. 20161019 192. 20161020 193. 20161021 194. 20161031 195. 20161108 196. 20161109 197. 20161115 198. 20161117 199. 20161122 200. 20161123 201. 20161128 202. 20161130 203. 20161205 204. 20161207 205. 20161208 206. 20161212 207. 20161213 208. 20161214 209. 20161216 210. 20161219 211. 20161221 212. 20161230
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


# RX SUMM–TREATMENT STATUS {.tabset} - Description: This data item is a summary of the status for all treatment modalities. It is used in conjunction with Date Initial RX SEER [1260] and/or Date 1st Crs RX CoC [1270] and each modality of treatment with their respective date field to document whether treatment was given or not given, whether it is unknown if treatment was given, or whether treatment was given on an unknown date. Also indicates active surveillance (watchful waiting). This data item is effective for January 2010+ diagnoses.

  • Rationale: This field will document active surveillance (watchful waiting) and eliminate searching each treatment modality to determine whether treatment was given.

  • Codes

    • 0 No treatment given
    • 1 Treatment given
    • 2 Active surveillance (watchful waiting)
    • 9 Unknown if treatment was given
  • Reference page: http://datadictionary.naaccr.org/default.aspx?c=10&Version=18#1285


All data

st_css() #IMPORTANT!
  rxsummtreatmentstatus <- as.factor(trimws(d[,"rxsummtreatmentstatus"]))
  levels(rxsummtreatmentstatus) <- list(    No_treatment_given.0="0",
                                          Treatment_given.1="1",
                                          Active.2="2",
                                          Unknown.9="9"
                                          )
    rxsummtreatmentstatus <- relevel(rxsummtreatmentstatus, ref="Treatment_given.1")
    new.d <- data.frame(new.d, rxsummtreatmentstatus)
    new.d <- apply_labels(new.d, rxsummtreatmentstatus = "Status for all treatment modalities")
    #summary(new.d$rxsummtreatmentstatus)
temp.d <- data.frame (new.d.1, rxsummtreatmentstatus)
summarytools::view(dfSummary(new.d$rxsummtreatmentstatus, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummtreatmentstatus [labelled, factor] Status for all treatment modalities 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
1829(84.4%)
207(9.6%)
117(5.4%)
14(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
154(81.5%)
15(7.9%)
15(7.9%)
5(2.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
126(72.4%)
12(6.9%)
34(19.5%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
205(86.5%)
12(5.1%)
17(7.2%)
3(1.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
141(81.0%)
19(10.9%)
14(8.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
264(91.0%)
16(5.5%)
6(2.1%)
4(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
928(85.4%)
130(12.0%)
29(2.7%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_treatment_status [factor] 1. Treatment_given.1 2. No_treatment_given.0 3. Active.2 4. Unknown.9
11(68.8%)
3(18.8%)
2(12.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SURG PRIM SITE


All data

st_css() #IMPORTANT!
  # Put 10-19 into one catecory and 20-80 into one category
  a<-as.numeric(d$rxsummsurgprimsite)
  a[which(a>=10&a<=19)]<-10
  a[which(a>=20&a<=80)]<-20
  rxsummsurgprimsite <- as.factor(a)
  levels(rxsummsurgprimsite) <- list(None.0="0",
                                  Tumor_destruction.10="10",
                                  Resection.20="20",
                                  Surgery_NOS.90="90",
                                  Unknown.99="99"
                                  )
    new.d <- data.frame(new.d, rxsummsurgprimsite)
    new.d <- apply_labels(new.d, rxsummsurgprimsite = "Type of radiation therapy")
    #summary(new.d$rxsummsurgprimsite)
temp.d <- data.frame (new.d.1, rxsummsurgprimsite)
summarytools::view(dfSummary(new.d$rxsummsurgprimsite, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummsurgprimsite [labelled, factor] Type of radiation therapy 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
1148(53.0%)
12(0.6%)
1002(46.2%)
0(0.0%)
5(0.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
84(44.4%)
1(0.5%)
104(55.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
126(72.4%)
0(0.0%)
48(27.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
92(38.8%)
1(0.4%)
143(60.3%)
0(0.0%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
89(51.1%)
1(0.6%)
84(48.3%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
104(35.9%)
1(0.3%)
181(62.4%)
0(0.0%)
4(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
644(59.2%)
7(0.6%)
436(40.1%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_prim_site [factor] 1. None.0 2. Tumor_destruction.10 3. Resection.20 4. Surgery_NOS.90 5. Unknown.99
9(56.2%)
1(6.2%)
6(37.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SCOPE REG LN SUR


All data

st_css() #IMPORTANT!
  # Put 10-19 into one catecory and 20-80 into one category
  rxsummscopereglnsur <- as.factor(trimws(d[,"rxsummscopereglnsur"]))
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="0"] <- "None.0"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="1"] <- "Biopsy_or_aspiration_nodes.1"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="2"] <- "Sentinel_biopsy.2"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="3"] <- "Number_of_removed_unknown.3"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="4"] <- "1_3_removed.4"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="5"] <- "4_more_removed.5"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="6"] <- "code_345_same_time.6"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="7"] <- "code_345_diff_time.7"
  levels(rxsummscopereglnsur)[levels(rxsummscopereglnsur)=="9"] <- "Unknown.9"
  
  
    new.d <- data.frame(new.d, rxsummscopereglnsur)
    new.d <- apply_labels(new.d, rxsummscopereglnsur = "rx_summ_scope_reg_ln_sur")
    #summary(new.d$rxsummsurgprimsite)
temp.d <- data.frame (new.d.1, rxsummscopereglnsur)
summarytools::view(dfSummary(new.d$rxsummscopereglnsur, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummscopereglnsur [labelled, factor] rx_summ_scope_reg_ln_sur 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
1460(67.4%)
3(0.1%)
1(0.0%)
8(0.4%)
171(7.9%)
517(23.9%)
2(0.1%)
5(0.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
124(65.6%)
0(0.0%)
0(0.0%)
0(0.0%)
9(4.8%)
56(29.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
137(78.7%)
0(0.0%)
0(0.0%)
0(0.0%)
7(4.0%)
30(17.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
131(55.3%)
0(0.0%)
0(0.0%)
1(0.4%)
24(10.1%)
80(33.8%)
0(0.0%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
103(59.2%)
0(0.0%)
0(0.0%)
3(1.7%)
10(5.7%)
58(33.3%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
121(41.7%)
1(0.3%)
0(0.0%)
2(0.7%)
56(19.3%)
106(36.6%)
0(0.0%)
4(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
833(76.6%)
2(0.2%)
1(0.1%)
2(0.2%)
63(5.8%)
184(16.9%)
2(0.2%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_scope_reg_ln_sur [factor] 1. None.0 2. Biopsy_or_aspiration_node 3. Sentinel_biopsy.2 4. Number_of_removed_unknown 5. 1_3_removed.4 6. 4_more_removed.5 7. code_345_same_time.6 8. Unknown.9
11(68.8%)
0(0.0%)
0(0.0%)
0(0.0%)
2(12.5%)
3(18.8%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SURG OTH REG/DIS


All data

st_css() #IMPORTANT!
  # Put 10-19 into one catecory and 20-80 into one category
  rxsummsurgothregdis <- as.factor(trimws(d[,"rxsummsurgothregdis"]))
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="0"] <- "None.0"
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="1"] <- "Procedure_performed.1"
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="2"] <- "Other_regional_sites.2"
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="3"] <- "Distant_lymph_node.3"
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="4"] <- "Distant_site.4"
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="5"] <- "Combination_of_234.5"
  levels(rxsummsurgothregdis)[levels(rxsummsurgothregdis)=="9"] <- "Unknown.9"
  
  
    new.d <- data.frame(new.d, rxsummsurgothregdis)
    new.d <- apply_labels(new.d, rxsummsurgothregdis = "rx_summ_surg_oth_reg_dis")
    #summary(new.d$rxsummsurgprimsite)
temp.d <- data.frame (new.d.1, rxsummsurgothregdis)
summarytools::view(dfSummary(new.d$rxsummsurgothregdis, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummsurgothregdis [labelled, factor] rx_summ_surg_oth_reg_dis 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
2145(99.0%)
6(0.3%)
4(0.2%)
4(0.2%)
2(0.1%)
6(0.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
188(99.5%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
234(98.7%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
283(97.6%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
5(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
1077(99.1%)
5(0.5%)
3(0.3%)
2(0.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_oth_reg_dis [factor] 1. None.0 2. Procedure_performed.1 3. Other_regional_sites.2 4. Distant_lymph_node.3 5. Combination_of_234.5 6. Unknown.9
15(93.8%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


REASON FOR NO SURGERY


All data

st_css() #IMPORTANT!
  # Put 10-19 into one catecory and 20-80 into one category
  reasonfornosurgery <- as.factor(trimws(d[,"reasonfornosurgery"]))
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="0"] <- "Site_performed.0"
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="1"] <- "not_part_of_planned.1"
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="2"] <- "Other_regional_sites.2"
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="6"] <- "not_first_course_therapy.6"
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="7"] <- "Recommended_refused.7"
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="8"] <- "Recommended_unknown.8"
  levels(reasonfornosurgery)[levels(reasonfornosurgery)=="9"] <- "Unknown.9"
  
  
    new.d <- data.frame(new.d, reasonfornosurgery)
    new.d <- apply_labels(new.d, reasonfornosurgery = "reason_for_no_surgery")
    #summary(new.d$rxsummsurgprimsite)
temp.d <- data.frame (new.d.1, reasonfornosurgery)
summarytools::view(dfSummary(new.d$reasonfornosurgery, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 reasonfornosurgery [labelled, factor] reason_for_no_surgery 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
1014(46.8%)
1063(49.1%)
30(1.4%)
3(0.1%)
32(1.5%)
20(0.9%)
5(0.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
105(55.6%)
71(37.6%)
2(1.1%)
0(0.0%)
6(3.2%)
5(2.6%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
48(27.6%)
120(69.0%)
2(1.1%)
0(0.0%)
4(2.3%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
144(60.8%)
86(36.3%)
1(0.4%)
0(0.0%)
4(1.7%)
1(0.4%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
85(48.9%)
81(46.6%)
5(2.9%)
1(0.6%)
2(1.1%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
182(62.8%)
89(30.7%)
9(3.1%)
1(0.3%)
2(0.7%)
3(1.0%)
4(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
443(40.8%)
607(55.8%)
11(1.0%)
1(0.1%)
14(1.3%)
11(1.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 reason_for_no_surgery [factor] 1. Site_performed.0 2. not_part_of_planned.1 3. Other_regional_sites.2 4. not_first_course_therapy. 5. Recommended_refused.7 6. Recommended_unknown.8 7. Unknown.9
7(43.8%)
9(56.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–RADIATION


All data

st_css() #IMPORTANT!
  rxsummradiation <- as.factor(trimws(d[,"rxsummradiation"]))
  levels(rxsummradiation) <- list(None.0="0",
                                  Beam_radiation.1="1",
                                  Radioactive_implants.2="2",
                                  Radioisotopes.3="3",
                                  Combination_12_or_13.4="4",
                                  NOS_or_source_not_specified.5="5",
                                  Historic_cases_only.6="6",
                                  Refused.7="7",
                                  Radiation_recommended_unknown.8="8",
                                  Unknown.9 = "9")
    new.d <- data.frame(new.d, rxsummradiation)
    new.d <- apply_labels(new.d, rxsummradiation = "Type of radiation therapy")
    #summary(new.d$rxsummradiation)
temp.d <- data.frame (new.d.1, rxsummradiation)
summarytools::view(dfSummary(new.d$rxsummradiation, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummradiation [labelled, factor] Type of radiation therapy 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
1254(58.5%)
546(25.5%)
124(5.8%)
3(0.1%)
149(7.0%)
3(0.1%)
0(0.0%)
12(0.6%)
41(1.9%)
11(0.5%)
24 (1.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
129(68.3%)
42(22.2%)
4(2.1%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
3(1.6%)
8(4.2%)
1(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
96(55.2%)
50(28.7%)
16(9.2%)
0(0.0%)
12(6.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
165(69.6%)
45(19.0%)
10(4.2%)
0(0.0%)
3(1.3%)
1(0.4%)
0(0.0%)
6(2.5%)
5(2.1%)
2(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
103(67.8%)
36(23.7%)
0(0.0%)
0(0.0%)
9(5.9%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.3%)
2(1.3%)
22 (12.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
185(63.8%)
92(31.7%)
1(0.3%)
0(0.0%)
5(1.7%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
6(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
565(52.1%)
277(25.5%)
92(8.5%)
3(0.3%)
118(10.9%)
2(0.2%)
0(0.0%)
2(0.2%)
26(2.4%)
0(0.0%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_radiation [factor] 1. None.0 2. Beam_radiation.1 3. Radioactive_implants.2 4. Radioisotopes.3 5. Combination_12_or_13.4 6. NOS_or_source_not_specifi 7. Historic_cases_only.6 8. Refused.7 9. Radiation_recommended_unk 10. Unknown.9
11(68.8%)
4(25.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SURG/RAD SEQ


All data

st_css() #IMPORTANT!
  rxsummsurgradseq <- as.factor(trimws(d[,"rxsummsurgradseq"]))
  levels(rxsummsurgradseq) <- list(No_radiation_surgery.0="0",
                                  Before_surgery.2="2",
                                  After_surgery.3="3",
                                  Both_before_after_surg.4="4",
                                  Intraoperative_radiation.5="5",
                                  Intraoperative_with_other.6="6",
                                  Both_before_after_radia.7="7",
                                  Unknown_Sequence.9 = "9")
    new.d <- data.frame(new.d, rxsummsurgradseq)
    new.d <- apply_labels(new.d, rxsummsurgradseq = "rx_summ_surg_rad_seq")
    #summary(new.d$rxsummsurgradseq)
temp.d <- data.frame (new.d.1, rxsummsurgradseq)
summarytools::view(dfSummary(new.d$rxsummsurgradseq, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummsurgradseq [labelled, factor] rx_summ_surg_rad_seq 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
2059(95.0%)
3(0.1%)
101(4.7%)
0(0.0%)
1(0.0%)
0(0.0%)
0(0.0%)
3(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
184(97.4%)
1(0.5%)
4(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
169(97.1%)
0(0.0%)
5(2.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
229(96.6%)
0(0.0%)
7(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
161(92.5%)
0(0.0%)
13(7.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
267(92.1%)
0(0.0%)
22(7.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
1034(95.1%)
2(0.2%)
49(4.5%)
0(0.0%)
1(0.1%)
0(0.0%)
0(0.0%)
1(0.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_surg_rad_seq [factor] 1. No_radiation_surgery.0 2. Before_surgery.2 3. After_surgery.3 4. Both_before_after_surg.4 5. Intraoperative_radiation. 6. Intraoperative_with_other 7. Both_before_after_radia.7 8. Unknown_Sequence.9
15(93.8%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–CHEMO


All data

st_css() #IMPORTANT!
  rxsummchemo <- as.factor(trimws(d[,"rxsummchemo"]))
  levels(rxsummchemo) <- list(None.0="0",
                                  Chemo_NOS.1="1",
                                  Chemo_single_agent.2="2",
                                  Chemo_multiple_agents.3="3",
                                  Not_recom_contraindicated.82="82",
                                  Not_admin_first_course_trp.86="86",
                                  Not_admin_refused.87="87",
                                  Unknown_if_administered.88="88",
                                  unknown.99="99")
    new.d <- data.frame(new.d, rxsummchemo)
    new.d <- apply_labels(new.d, rxsummchemo = "Chemotherapy as part of the first course of treatment")
    #summary(new.d$rxsummchemo)
temp.d <- data.frame (new.d.1, rxsummchemo)
summarytools::view(dfSummary(new.d$rxsummchemo, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummchemo [labelled, factor] Chemotherapy as part of the first course of treatment 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
2121(97.9%)
1(0.0%)
24(1.1%)
4(0.2%)
0(0.0%)
0(0.0%)
1(0.0%)
4(0.2%)
12(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
188(99.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
170(97.7%)
0(0.0%)
4(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
229(96.6%)
0(0.0%)
7(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
278(95.9%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
11(3.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
1066(98.1%)
1(0.1%)
11(1.0%)
4(0.4%)
0(0.0%)
0(0.0%)
1(0.1%)
4(0.4%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_chemo [factor] 1. None.0 2. Chemo_NOS.1 3. Chemo_single_agent.2 4. Chemo_multiple_agents.3 5. Not_recom_contraindicated 6. Not_admin_first_course_tr 7. Not_admin_refused.87 8. Unknown_if_administered.8 9. unknown.99
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–HORMONE


All data

st_css() #IMPORTANT!
  rxsummhormone <- as.factor(trimws(d[,"rxsummhormone"]))
  levels(rxsummhormone) <- list(None.0="0",
                              HT_first_course.1="1",
                              Not_recom_contraindicated.82="82",
                              Not_admin_died.85="85",
                              Recom_not_admin.86="86",
                              Recomm_but_refused.87="87",
                              Unknown_if_admin.88="88",
                              Unknown.99="99")
    new.d <- data.frame(new.d, rxsummhormone)
    new.d <- apply_labels(new.d, rxsummhormone = "Hormonal agents as part of the first course of treatment")
    #summary(new.d$rxsummhormone)
temp.d <- data.frame (new.d.1, rxsummhormone)
summarytools::view(dfSummary(new.d$rxsummhormone, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummhormone [labelled, factor] Hormonal agents as part of the first course of treatment 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
1633(75.4%)
471(21.7%)
2(0.1%)
0(0.0%)
5(0.2%)
21(1.0%)
18(0.8%)
17(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
148(78.3%)
38(20.1%)
1(0.5%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
125(71.8%)
46(26.4%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.7%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
188(79.3%)
43(18.1%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
2(0.8%)
2(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
129(74.1%)
43(24.7%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
200(69.0%)
77(26.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.0%)
10(3.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
828(76.2%)
223(20.5%)
0(0.0%)
0(0.0%)
4(0.4%)
14(1.3%)
13(1.2%)
5(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_hormone [factor] 1. None.0 2. HT_first_course.1 3. Not_recom_contraindicated 4. Not_admin_died.85 5. Recom_not_admin.86 6. Recomm_but_refused.87 7. Unknown_if_admin.88 8. Unknown.99
15(93.8%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–BRM


All data

st_css() #IMPORTANT!
  rxsummbrm <- as.factor(trimws(d[,"rxsummbrm"]))
  levels(rxsummbrm) <- list(None.0="0",
                              Immunotherapy_first_course.1="1",
                              Recomm_not_admin.86="86",
                              Unknown_if_admin.88="88",
                              Unknown.99="99")
    new.d <- data.frame(new.d, rxsummbrm)
    new.d <- apply_labels(new.d, rxsummbrm = "rx_summ_brm")
    #summary(new.d$rxsummbrm)
temp.d <- data.frame (new.d.1, rxsummbrm)
summarytools::view(dfSummary(new.d$rxsummbrm, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummbrm [labelled, factor] rx_summ_brm 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
2149(99.2%)
5(0.2%)
1(0.0%)
1(0.0%)
11(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
189(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
236(99.6%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
279(96.2%)
0(0.0%)
0(0.0%)
0(0.0%)
11(3.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
1081(99.4%)
4(0.4%)
1(0.1%)
1(0.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_brm [factor] 1. None.0 2. Immunotherapy_first_cours 3. Recomm_not_admin.86 4. Unknown_if_admin.88 5. Unknown.99
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–OTHER


All data

st_css() #IMPORTANT!
  rxsummother <- as.factor(trimws(d[,"rxsummother"]))
  levels(rxsummother) <- list(None.0="0",
                              Other.1="1",
                              Other_Unproven.86="6",
                              Unknown.9="9")
    new.d <- data.frame(new.d, rxsummother)
    new.d <- apply_labels(new.d, rxsummother = "rx_summ_other")
    #summary(new.d$rxsummother)
temp.d <- data.frame (new.d.1, rxsummother)
summarytools::view(dfSummary(new.d$rxsummother, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummother [labelled, factor] rx_summ_other 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
2153(99.4%)
2(0.1%)
1(0.0%)
11(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
189(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
236(99.6%)
0(0.0%)
1(0.4%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
174(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
279(96.2%)
0(0.0%)
0(0.0%)
11(3.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
1085(99.8%)
2(0.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_other [factor] 1. None.0 2. Other.1 3. Other_Unproven.86 4. Unknown.9
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RAD–REGIONAL DOSE: CGY


All data

st_css() #IMPORTANT!
  radregionaldosecgy <- as.factor(trimws(d[,"radregionaldosecgy"]))

    new.d <- data.frame(new.d, radregionaldosecgy)
  new.d <- apply_labels(new.d, radregionaldosecgy = "rad_regional_dose_cgy")

temp.d <- data.frame (new.d.1, radregionaldosecgy)
summarytools::view(dfSummary(new.d$radregionaldosecgy, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 radregionaldosecgy [labelled, factor] rad_regional_dose_cgy No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RAD–REGIONAL RX MODALITY


All data

st_css() #IMPORTANT!
  radregionalrxmodality <- as.factor(trimws(d[,"radregionalrxmodality"]))
  levels(radregionalrxmodality) <- list(No_tx.0="0",
                                  External_beam.20="20",
                                  Photons_6_10_MV.24="24",
                                  Photons_11_19_MV.25="25",
                                  Photons_19more_MV.26="26",
                                  Photons_mixed.27="27",
                                  IMRT.31="31",
                                  Conformal_or_3D_therapy.32="32",
                                  Protons.40="40",
                                  Stereotactic_radiosurgery.41 = "41", 
                                  Linac_radiosurgery.42 = "42",
                                  Brachytherapy_NOS.50 = "50", 
                                  Brachytherapy_Intracavitary_LDR.51 = "51", 
                                  Brachytherapy_Intracavitary_HDR.52 = "52", 
                                  Brachytherapy_Interstitial_LDR.53 = "53",
                                  Brachytherapy_Interstitial_HDR.54 = "54",
                                  Radium.55 = "55", 
                                  Radio_isotopes.60 = "60", 
                                  Combination_modality_specified.80 = "80", 
                                  Other_NOS.98 = "98", 
                                  Unknown.99 = "99"
                                  )
    new.d <- data.frame(new.d, radregionalrxmodality)
    new.d <- apply_labels(new.d, radregionalrxmodality = "rad_regional_rx_modality")
    #summary(new.d$radregionalrxmodality)
temp.d <- data.frame (new.d.1, radregionalrxmodality)
summarytools::view(dfSummary(new.d$radregionalrxmodality, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 radregionalrxmodality [labelled, factor] rad_regional_rx_modality 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.3 9. Protons.40 10. Stereotactic_radiosurgery 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavita 14. Brachytherapy_Intracavita 15. Brachytherapy_Interstitia 16. Brachytherapy_Interstitia 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_spec 20. Other_NOS.98 21. Unknown.99
1191(60.3%)
58(2.9%)
130(6.6%)
7(0.4%)
2(0.1%)
10(0.5%)
374(18.9%)
10(0.5%)
7(0.4%)
7(0.4%)
17(0.9%)
14(0.7%)
3(0.2%)
3(0.2%)
84(4.3%)
42(2.1%)
1(0.1%)
3(0.2%)
1(0.1%)
2(0.1%)
9(0.5%)
192 (8.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.3 9. Protons.40 10. Stereotactic_radiosurgery 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavita 14. Brachytherapy_Intracavita 15. Brachytherapy_Interstitia 16. Brachytherapy_Interstitia 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_spec 20. Other_NOS.98 21. Unknown.99
140(74.1%)
10(5.3%)
5(2.6%)
1(0.5%)
2(1.1%)
0(0.0%)
23(12.2%)
1(0.5%)
1(0.5%)
0(0.0%)
1(0.5%)
3(1.6%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.3 9. Protons.40 10. Stereotactic_radiosurgery 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavita 14. Brachytherapy_Intracavita 15. Brachytherapy_Interstitia 16. Brachytherapy_Interstitia 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_spec 20. Other_NOS.98 21. Unknown.99
96(55.2%)
7(4.0%)
13(7.5%)
2(1.1%)
0(0.0%)
1(0.6%)
33(19.0%)
1(0.6%)
0(0.0%)
2(1.1%)
1(0.6%)
0(0.0%)
0(0.0%)
2(1.1%)
7(4.0%)
9(5.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.3 9. Protons.40 10. Stereotactic_radiosurgery 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavita 14. Brachytherapy_Intracavita 15. Brachytherapy_Interstitia 16. Brachytherapy_Interstitia 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_spec 20. Other_NOS.98 21. Unknown.99
176(74.3%)
6(2.5%)
13(5.5%)
1(0.4%)
0(0.0%)
1(0.4%)
24(10.1%)
2(0.8%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.1%)
5(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
2(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.32 9. Protons.40 10. Stereotactic_radiosurgery.41 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavitary_LDR.51 14. Brachytherapy_Intracavitary_HDR.52 15. Brachytherapy_Interstitial_LDR.53 16. Brachytherapy_Interstitial_HDR.54 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_specified.80 20. Other_NOS.98 21. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.3 9. Protons.40 10. Stereotactic_radiosurgery 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavita 14. Brachytherapy_Intracavita 15. Brachytherapy_Interstitia 16. Brachytherapy_Interstitia 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_spec 20. Other_NOS.98 21. Unknown.99
186(64.1%)
4(1.4%)
27(9.3%)
2(0.7%)
0(0.0%)
2(0.7%)
59(20.3%)
0(0.0%)
2(0.7%)
1(0.3%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.3 9. Protons.40 10. Stereotactic_radiosurgery 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavita 14. Brachytherapy_Intracavita 15. Brachytherapy_Interstitia 16. Brachytherapy_Interstitia 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_spec 20. Other_NOS.98 21. Unknown.99
593(54.7%)
31(2.9%)
72(6.6%)
1(0.1%)
0(0.0%)
6(0.6%)
235(21.7%)
6(0.6%)
3(0.3%)
4(0.4%)
15(1.4%)
10(0.9%)
3(0.3%)
1(0.1%)
72(6.6%)
27(2.5%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
0(0.0%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_regional_rx_modality [factor] 1. No_tx.0 2. External_beam.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_19more_MV.26 6. Photons_mixed.27 7. IMRT.31 8. Conformal_or_3D_therapy.32 9. Protons.40 10. Stereotactic_radiosurgery.41 11. Linac_radiosurgery.42 12. Brachytherapy_NOS.50 13. Brachytherapy_Intracavitary_LDR.51 14. Brachytherapy_Intracavitary_HDR.52 15. Brachytherapy_Interstitial_LDR.53 16. Brachytherapy_Interstitial_HDR.54 17. Radium.55 18. Radio_isotopes.60 19. Combination_modality_specified.80 20. Other_NOS.98 21. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SYSTEMIC/SUR SEQ


All data

st_css() #IMPORTANT!
  rxsummsystemicsurseq <- as.factor(trimws(d[,"rxsummsystemicsurseq"]))
  levels(rxsummsystemicsurseq) <- list(No.0="0",
                                  Therapy_before_surg.2="2",
                                  Therapy_after_surg.3="3",
                                  Both_before_after.4="4",
                                  Sequence_unknown_not_given.9="9"
                                  )
    new.d <- data.frame(new.d, rxsummsystemicsurseq)
    new.d <- apply_labels(new.d, rxsummsystemicsurseq = "rx_summ_systemic_sur_seq")
    #summary(new.d$rxsummsystemicsurseq)
temp.d <- data.frame (new.d.1, rxsummsystemicsurseq)
summarytools::view(dfSummary(new.d$rxsummsystemicsurseq, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummsystemicsurseq [labelled, factor] rx_summ_systemic_sur_seq 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
2085(96.2%)
15(0.7%)
63(2.9%)
3(0.1%)
1(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
178(94.2%)
4(2.1%)
6(3.2%)
1(0.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
169(97.1%)
2(1.1%)
3(1.7%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
228(96.2%)
4(1.7%)
4(1.7%)
1(0.4%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
165(94.8%)
0(0.0%)
9(5.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
278(95.9%)
2(0.7%)
9(3.1%)
0(0.0%)
1(0.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
1051(96.7%)
3(0.3%)
32(2.9%)
1(0.1%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_summ_systemic_sur_seq [factor] 1. No.0 2. Therapy_before_surg.2 3. Therapy_after_surg.3 4. Both_before_after.4 5. Sequence_unknown_not_give
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SURG SITE 98-02


All data

st_css() #IMPORTANT!
  rxsummsurgsite9802 <- as.factor(trimws(d[,"rxsummsurgsite9802"]))

    new.d <- data.frame(new.d, rxsummsurgsite9802)
  new.d <- apply_labels(new.d, rxsummsurgsite9802 = "rx_summ_surg_site_9802")

temp.d <- data.frame (new.d.1, rxsummsurgsite9802)
summarytools::view(dfSummary(new.d$rxsummsurgsite9802, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummsurgsite9802 [labelled, factor] rx_summ_surg_site_9802 No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SCOPE REG 98-02


All data

st_css() #IMPORTANT!
  rxsummscopereg9802 <- as.factor(trimws(d[,"rxsummscopereg9802"]))

    new.d <- data.frame(new.d, rxsummscopereg9802)
  new.d <- apply_labels(new.d, rxsummscopereg9802 = "rx_summ_scope_reg_9802")

temp.d <- data.frame (new.d.1, rxsummscopereg9802)
summarytools::view(dfSummary(new.d$rxsummscopereg9802, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummscopereg9802 [labelled, factor] rx_summ_scope_reg_9802 No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–SCOPE OTH 98-02


All data

st_css() #IMPORTANT!
  rxsummsurgoth9802 <- as.factor(trimws(d[,"rxsummsurgoth9802"]))

    new.d <- data.frame(new.d, rxsummsurgoth9802)
  new.d <- apply_labels(new.d, rxsummsurgoth9802 = "rx_summ_surg_oth_9802")

temp.d <- data.frame (new.d.1, rxsummsurgoth9802)
summarytools::view(dfSummary(new.d$rxsummsurgoth9802, style = 'grid', max.distinct.values = 100, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummsurgoth9802 [labelled, factor] rx_summ_surg_oth_9802 No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DATE OF LAST CONTACT


All data

st_css() #IMPORTANT!
  dateoflastcontact <- as.factor(d[,"dateoflastcontact"])
  
    new.d <- data.frame(new.d, dateoflastcontact)
    new.d <- apply_labels(new.d, dateoflastcontact = "date_of_last_contact")
    #summary(new.d$dateoflastcontact)
temp.d <- data.frame (new.d.1, dateoflastcontact)
summarytools::view(dfSummary(new.d$dateoflastcontact, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 dateoflastcontact [labelled, factor] date_of_last_contact 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
8(0.4%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
2(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
2107(97.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] EAN-8 codes 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
183(96.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
173(99.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] EAN-8 codes 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
228(96.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
172(98.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
282(97.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
0(0.0%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1053(96.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 date_of_last_contact [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 201605 
·
17. 20160519 18. 20160599 19. 201606 
·
20. 20160708 21. 20160805 22. 20160812 23. 20161009 24. 20161031 25. 201611 
·
26. 20161101 27. 20161103 28. 20161114 29. 20161121 30. 20161124 31. 20161199 32. 20161206 33. 20161208 34. 20161221 35. 201701 
·
36. 20170103 37. 20170110 38. 20170111 39. 20170118 40. 20170124 41. 201702 
·
42. 20170223 43. 201703 
·
44. 20170306 45. 20170309 46. 20170330 47. 20170401 48. 20170404 49. 20170524 50. 20170609 [ 243 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


VITAL STATUS


All data

st_css() #IMPORTANT!
  vitalstatus <- as.factor(trimws(d[,"vitalstatus"]))
  levels(vitalstatus) <- list(Dead.0="0",
                              Alive.1="1")
    new.d <- data.frame(new.d, vitalstatus)
    new.d <- apply_labels(new.d, vitalstatus = "Vital status of the patient")
    #summary(new.d$vitalstatus)
temp.d <- data.frame (new.d.1, vitalstatus)
summarytools::view(dfSummary(new.d$vitalstatus, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 vitalstatus [labelled, factor] Vital status of the patient 1. Dead.0 2. Alive.1
10(0.5%)
2157(99.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
0(0.0%)
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
2(1.1%)
172(98.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
0(0.0%)
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
3(1.7%)
171(98.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
0(0.0%)
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
5(0.5%)
1082(99.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 vital_status [factor] 1. Dead.0 2. Alive.1
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SURV-DATE ACTIVE FOLLOWUP

Example 1 Date of Last Contact: 20111120 Study Cut-off Date: 20111231 Surv-Date Active Followup: 20111120 Note: The date of last contact is earlier than the study cut-off date, and the date of last contact is complete, so the date of last contact is used in Surv-Date Active Followup.

Example 2 Date of Last Contact: 201111 Study Cut-off Date: 20111231 Surv-Date Active Followup: 20111115 Note: Rationale is to take mid-point of possible values. For Nov (30 days) it would be FLOOR((1+30)/2) = 15, where FLOOR is a function that rounds a decimal down to an integer.


All data

st_css() #IMPORTANT!
  survdateactivefollowup <- as.factor(d[,"survdateactivefollowup"])
  
    new.d <- data.frame(new.d, survdateactivefollowup)
    new.d <- apply_labels(new.d, survdateactivefollowup = "survdate_active_follow_up")
    #summary(new.d$survdateactivefollowup)
temp.d <- data.frame (new.d.1, survdateactivefollowup)
summarytools::view(dfSummary(new.d$survdateactivefollowup, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 survdateactivefollowup [labelled, factor] survdate_active_follow_up 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
5(0.3%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1875(97.2%)
237 (10.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] EAN-8 codes 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(2.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
183(96.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
173(99.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 51. 20170724 52. 20170727 53. 201708 
·
54. 20170811 55. 20170821 56. 20170830 57. 20171025 58. 20171206 59. 201801 
·
60. 20180109 61. 20180118 62. 20180126 63. 20180201 64. 20180212 65. 20180219 66. 20180306 67. 20180307 68. 201804 
·
69. 20180507 70. 20180509 71. 201806 
·
72. 20180619 73. 20180625 74. 20180803 75. 20180810 76. 20180817 77. 20180820 78. 20180906 79. 20180908 80. 20181001 81. 20181005 82. 20181016 83. 20181025 84. 201811 
·
85. 20181106 86. 20181107 87. 20181130 88. 20181199 89. 20181204 90. 20181214 91. 20181219 92. 20181231 93. 20181299 94. 201901 
·
95. 201902 
·
96. 201904 
·
97. 201905 
·
98. 201906 
·
99. 201907 
·
100. 201909 
·
101. 201911 
·
102. 201912 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
172(98.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
281(96.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
0(0.0%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
0(0.0%)
1050(96.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_active_follow_up [factor] 1. 20150709 2. 20150722 3. 20150730 4. 20150810 5. 20150824 6. 20150915 7. 20151110 8. 20151113 9. 20151120 10. 20151216 11. 20160109 12. 20160322 13. 20160324 14. 20160402 15. 20160404 16. 20160519 17. 20160599 18. 20160708 19. 20160805 20. 20160812 21. 20161009 22. 20161031 23. 201611 
·
24. 20161101 25. 20161103 26. 20161114 27. 20161121 28. 20161124 29. 20161199 30. 20161206 31. 20161208 32. 20161221 33. 20170103 34. 20170110 35. 20170111 36. 20170118 37. 20170124 38. 20170223 39. 201703 
·
40. 20170306 41. 20170309 42. 20170330 43. 20170401 44. 20170404 45. 20170524 46. 20170609 47. 20170628 48. 20170711 49. 20170712 50. 20170713 [ 52 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SURV-DATE PRESUMED ALIVE

Example 1 Vital Status: Alive Date of Last Contact: 20111120 Study Cut-off Date: 20111231 Latest date for complete death ascertainment: 20111231 Surv-Date Presumed Alive: 20111231


All data

st_css() #IMPORTANT!
  survdatepresumedalive <- as.factor(d[,"survdatepresumedalive"])
  
    new.d <- data.frame(new.d, survdatepresumedalive)
    new.d <- apply_labels(new.d, survdatepresumedalive = "survdate_presumed_alive")
    #summary(new.d$survdatepresumedalive)
temp.d <- data.frame (new.d.1, survdatepresumedalive)
summarytools::view(dfSummary(new.d$survdatepresumedalive, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 survdatepresumedalive [labelled, factor] survdate_presumed_alive 1. 20181231 2. 20181299 3. 201912 
·
1551(80.4%)
190(9.8%)
189(9.8%)
237 (10.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] EAN-8 codes 1. 20181231 2. 20181299 3. 201912 
·
0(0.0%)
0(0.0%)
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] 1. 20181231 2. 20181299 3. 201912 
·
174(100.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] 1. 20181231 2. 20181299 3. 201912 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] 1. 20181231 2. 20181299 3. 201912 
·
0(0.0%)
174(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] 1. 20181231 2. 20181299 3. 201912 
·
290(100.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] 1. 20181231 2. 20181299 3. 201912 
·
1087(100.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_presumed_alive [factor] 1. 20181231 2. 20181299 3. 201912 
·
0(0.0%)
16(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SURV-DATE RX RECODE

Example 1 Date of diagnosis: 20111199 Date of Last Contact: 20111120 Surv-Date of DX Recode: 20111110 Note: The recoded value is the mid-point between 11/1 and 11/20.

Example 2 Date of diagnosis: 2011 Date of Last Contact: 20111120 Surv-Date of DX Recode: 20110611 Note: The recoded value is the mid-point between 20110101 and 20111120.


All data

st_css() #IMPORTANT!
  survdatedxrecode <- as.factor(d[,"survdatedxrecode"])
  
    new.d <- data.frame(new.d, survdatedxrecode)
    new.d <- apply_labels(new.d, survdatedxrecode = "survdate_dx_recode")
    #summary(new.d$survdatedxrecode)
temp.d <- data.frame (new.d.1, survdatedxrecode)
summarytools::view(dfSummary(new.d$survdatedxrecode, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 survdatedxrecode [labelled, factor] survdate_dx_recode 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
1(0.1%)
1(0.1%)
2(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
8(0.4%)
3(0.2%)
5(0.3%)
4(0.2%)
2(0.1%)
2(0.1%)
1(0.1%)
2(0.1%)
1(0.1%)
5(0.3%)
4(0.2%)
4(0.2%)
3(0.2%)
1(0.1%)
1(0.1%)
3(0.2%)
4(0.2%)
1(0.1%)
1(0.1%)
2(0.1%)
4(0.2%)
3(0.2%)
6(0.3%)
4(0.2%)
1(0.1%)
4(0.2%)
2(0.1%)
2(0.1%)
2(0.1%)
3(0.2%)
1(0.1%)
3(0.2%)
2(0.1%)
2(0.1%)
2(0.1%)
1(0.1%)
1816(94.1%)
237 (10.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] EAN-8 codes 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
177(93.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
2(1.1%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
162(93.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 51. 20150216 52. 20150217 53. 20150218 54. 20150220 55. 20150223 56. 20150224 57. 20150227 58. 20150299 59. 201503 
·
60. 20150301 61. 20150302 62. 20150303 63. 20150304 64. 20150305 65. 20150306 66. 20150309 67. 20150310 68. 20150311 69. 20150312 70. 20150313 71. 20150315 72. 20150316 73. 20150317 74. 20150318 75. 20150319 76. 20150320 77. 20150323 78. 20150325 79. 20150326 80. 20150327 81. 20150330 82. 20150331 83. 20150399 84. 201504 
·
85. 20150401 86. 20150403 87. 20150406 88. 20150407 89. 20150408 90. 20150410 91. 20150411 92. 20150413 93. 20150414 94. 20150415 95. 20150416 96. 20150417 97. 20150420 98. 20150421 99. 20150422 100. 20150423 101. 20150424 102. 20150427 103. 20150428 104. 20150429 105. 20150430 106. 20150499 107. 201505 
·
108. 20150501 109. 20150502 110. 20150504 111. 20150505 112. 20150506 113. 20150507 114. 20150511 115. 20150512 116. 20150513 117. 20150514 118. 20150515 119. 20150519 120. 20150520 121. 20150521 122. 20150526 123. 20150527 124. 20150528 125. 20150529 126. 20150599 127. 201506 
·
128. 20150601 129. 20150602 130. 20150603 131. 20150604 132. 20150605 133. 20150608 134. 20150609 135. 20150610 136. 20150611 137. 20150612 138. 20150615 139. 20150616 140. 20150617 141. 20150618 142. 20150619 143. 20150622 144. 20150623 145. 20150624 146. 20150625 147. 20150626 148. 20150629 149. 20150630 150. 20150699 151. 201507 
·
152. 20150701 153. 20150702 154. 20150706 155. 20150707 156. 20150709 157. 20150710 158. 20150713 159. 20150714 160. 20150715 161. 20150716 162. 20150717 163. 20150720 164. 20150721 165. 20150722 166. 20150723 167. 20150724 168. 20150727 169. 20150728 170. 20150729 171. 20150730 172. 20150731 173. 20150799 174. 201508 
·
175. 20150801 176. 20150803 177. 20150804 178. 20150805 179. 20150806 180. 20150807 181. 20150810 182. 20150811 183. 20150812 184. 20150813 185. 20150814 186. 20150815 187. 20150818 188. 20150819 189. 20150820 190. 20150821 191. 20150824 192. 20150825 193. 20150826 194. 20150827 195. 20150828 196. 20150831 197. 20150899 198. 201509 
·
199. 20150901 200. 20150902 201. 20150908 202. 20150909 203. 20150910 204. 20150911 205. 20150912 206. 20150914 207. 20150915 208. 20150916 209. 20150917 210. 20150918 211. 20150921 212. 20150922 213. 20150924 214. 20150925 215. 20150928 216. 20150930 217. 20150999 218. 201510 
·
219. 20151001 220. 20151005 221. 20151007 222. 20151008 223. 20151012 224. 20151013 225. 20151014 226. 20151015 227. 20151016 228. 20151019 229. 20151020 230. 20151021 231. 20151022 232. 20151023 233. 20151026 234. 20151027 235. 20151028 236. 20151029 237. 20151030 238. 20151099 239. 201511 
·
240. 20151101 241. 20151102 242. 20151103 243. 20151104 244. 20151105 245. 20151106 246. 20151109 247. 20151110 248. 20151111 249. 20151112 250. 20151113 251. 20151116 252. 20151117 253. 20151119 254. 20151120 255. 20151123 256. 20151124 257. 20151127 258. 20151130 259. 20151199 260. 201512 
·
261. 20151201 262. 20151202 263. 20151203 264. 20151204 265. 20151207 266. 20151208 267. 20151209 268. 20151210 269. 20151211 270. 20151214 271. 20151215 272. 20151216 273. 20151217 274. 20151218 275. 20151221 276. 20151223 277. 20151228 278. 20151229 279. 20151230 280. 20151299 281. 201601 
·
282. 20160104 283. 20160105 284. 20160106 285. 20160107 286. 20160108 287. 20160111 288. 20160112 289. 20160113 290. 20160114 291. 20160115 292. 20160119 293. 20160120 294. 20160121 295. 20160122 296. 20160125 297. 20160126 298. 20160128 299. 20160129 300. 20160199 301. 201602 
·
302. 20160201 303. 20160202 304. 20160203 305. 20160204 306. 20160205 307. 20160208 308. 20160209 309. 20160210 310. 20160211 311. 20160212 312. 20160215 313. 20160216 314. 20160217 315. 20160218 316. 20160219 317. 20160223 318. 20160224 319. 20160225 320. 20160226 321. 20160229 322. 20160299 323. 201603 
·
324. 20160301 325. 20160302 326. 20160303 327. 20160304 328. 20160307 329. 20160308 330. 20160310 331. 20160311 332. 20160314 333. 20160315 334. 20160316 335. 20160317 336. 20160318 337. 20160321 338. 20160322 339. 20160323 340. 20160324 341. 20160325 342. 20160328 343. 20160329 344. 20160330 345. 20160331 346. 20160399 347. 201604 
·
348. 20160401 349. 20160404 350. 20160405 351. 20160406 352. 20160407 353. 20160408 354. 20160411 355. 20160412 356. 20160413 357. 20160414 358. 20160415 359. 20160418 360. 20160419 361. 20160420 362. 20160421 363. 20160422 364. 20160425 365. 20160426 366. 20160427 367. 20160428 368. 20160429 369. 20160499 370. 201605 
·
371. 20160502 372. 20160503 373. 20160504 374. 20160505 375. 20160506 376. 20160509 377. 20160510 378. 20160511 379. 20160512 380. 20160513 381. 20160516 382. 20160518 383. 20160519 384. 20160520 385. 20160523 386. 20160524 387. 20160525 388. 20160526 389. 20160527 390. 20160531 391. 20160599 392. 201606 
·
393. 20160601 394. 20160602 395. 20160603 396. 20160606 397. 20160607 398. 20160608 399. 20160609 400. 20160610 401. 20160613 402. 20160614 403. 20160615 404. 20160616 405. 20160617 406. 20160620 407. 20160621 408. 20160622 409. 20160623 410. 20160624 411. 20160626 412. 20160628 413. 20160630 414. 20160699 415. 201607 
·
416. 20160701 417. 20160705 418. 20160706 419. 20160707 420. 20160708 421. 20160711 422. 20160712 423. 20160713 424. 20160714 425. 20160715 426. 20160716 427. 20160718 428. 20160719 429. 20160720 430. 20160721 431. 20160722 432. 20160725 433. 20160726 434. 20160727 435. 20160728 436. 20160729 437. 20160799 438. 201608 
·
439. 20160801 440. 20160802 441. 20160803 442. 20160804 443. 20160805 444. 20160808 445. 20160809 446. 20160810 447. 20160811 448. 20160812 449. 20160815 450. 20160816 451. 20160817 452. 20160818 453. 20160819 454. 20160822 455. 20160823 456. 20160824 457. 20160825 458. 20160826 459. 20160829 460. 20160830 461. 20160831 462. 20160899 463. 201609 
·
464. 20160901 465. 20160902 466. 20160906 467. 20160907 468. 20160908 469. 20160909 470. 20160912 471. 20160913 472. 20160914 473. 20160915 474. 20160916 475. 20160919 476. 20160920 477. 20160921 478. 20160922 479. 20160923 480. 20160926 481. 20160928 482. 20160929 483. 20160930 484. 20160999 485. 201610 
·
486. 20161001 487. 20161003 488. 20161004 489. 20161005 490. 20161006 491. 20161007 492. 20161010 493. 20161011 494. 20161012 495. 20161013 496. 20161014 497. 20161017 498. 20161018 499. 20161019 500. 20161020 501. 20161021 502. 20161024 503. 20161026 504. 20161027 505. 20161028 506. 20161031 507. 20161099 508. 201611 
·
509. 20161101 510. 20161102 511. 20161103 512. 20161104 513. 20161107 514. 20161108 515. 20161109 516. 20161110 517. 20161114 518. 20161115 519. 20161116 520. 20161117 521. 20161118 522. 20161121 523. 20161122 524. 20161123 525. 20161128 526. 20161129 527. 20161130 528. 20161199 529. 201612 
·
530. 20161201 531. 20161202 532. 20161205 533. 20161206 534. 20161207 535. 20161208 536. 20161209 537. 20161210 538. 20161212 539. 20161213 540. 20161214 541. 20161216 542. 20161219 543. 20161220 544. 20161221 545. 20161222 546. 20161223 547. 20161227 548. 20161228 549. 20161230 550. 20161299 551. 20170106 552. 20170199 553. 201702 
·
554. 20170299 555. 201703 
·
556. 20170399 557. 20170413 558. 20170499 559. 20170599 560. 201706 
·
561. 20170699 562. 20170799 563. 201708 
·
564. 20170899 565. 20170911 566. 20170999 567. 20171099 568. 201711 
·
569. 20171199 570. 201712 
·
571. 20171299 572. 20180199 573. 20180227 574. 20180299 575. 20180399 576. 20180499 577. 20180599 578. 20180699 579. 20180799 580. 20180899 581. 20180926 582. 20180999 583. 20181099 584. 20181199 585. 20181299
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(3.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
168(96.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
2(0.7%)
1(0.3%)
1(0.3%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
1(0.3%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
276(95.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.2%)
4(0.4%)
2(0.2%)
1(0.1%)
2(0.2%)
0(0.0%)
1(0.1%)
1(0.1%)
3(0.3%)
3(0.3%)
3(0.3%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
4(0.4%)
2(0.2%)
0(0.0%)
0(0.0%)
1(0.1%)
3(0.3%)
1(0.1%)
2(0.2%)
1(0.1%)
3(0.3%)
0(0.0%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
1032(94.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 survdate_dx_recode [factor] 1. 20110899 2. 20120399 3. 20120499 4. 20120699 5. 20130199 6. 20130399 7. 20130499 8. 20130699 9. 20131099 10. 20140299 11. 20140399 12. 20140699 13. 20140799 14. 20141299 15. 201501 
·
16. 20150101 17. 20150105 18. 20150106 19. 20150107 20. 20150108 21. 20150109 22. 20150112 23. 20150113 24. 20150114 25. 20150115 26. 20150116 27. 20150119 28. 20150120 29. 20150121 30. 20150122 31. 20150123 32. 20150126 33. 20150127 34. 20150128 35. 20150129 36. 20150130 37. 20150199 38. 201502 
·
39. 20150201 40. 20150202 41. 20150203 42. 20150204 43. 20150205 44. 20150206 45. 20150209 46. 20150210 47. 20150211 48. 20150212 49. 20150213 50. 20150215 [ 535 others ]
1(6.2%)
1(6.2%)
2(12.5%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


# CAUSE OF DEATH {.tabset} - Description: Official cause of death as coded from the death certificate in valid ICD-7, ICD-8, ICD-9, and ICD-10 codes. - Rationale: Cause of death is used for calculation of adjusted survival rates by the life table method. The adjustment corrects for deaths other than from the diagnosed cancer. - Note: This data item is no longer supported by CoC (as of January 1, 2003). - Special codes in addition to ICD-7, ICD-8, ICD-9, and ICD-10 (refer to SEER Program Code Manual for additional instructions.) + 0000 Patient alive at last contact + 7777 State death certificate not available + 7797 State death certificate available but underlying cause of death is not coded


All data

st_css() #IMPORTANT!
  causeofdeath <- as.factor(trimws(d[,"causeofdeath"]))
  levels(causeofdeath) <- list(Alive_last_contact.0="0",
                                  Certificate_not_available.7777="7777"
                                )
    new.d <- data.frame(new.d, causeofdeath)
    new.d <- apply_labels(new.d, causeofdeath = "cause_of_death")
    #summary(new.d$causeofdeath)
temp.d <- data.frame (new.d.1, causeofdeath)
summarytools::view(dfSummary(new.d$causeofdeath, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 causeofdeath [labelled, factor] cause_of_death 1. Alive_last_contact.0 2. Certificate_not_available
2157(99.9%)
2(0.1%)
8 (0.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
189(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
172(98.9%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
237(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
171(100.0%)
0(0.0%)
3 (1.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
290(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
1082(100.0%)
0(0.0%)
5 (0.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cause_of_death [factor] 1. Alive_last_contact.0 2. Certificate_not_available
16(100.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS EXTENSION


All data

st_css() #IMPORTANT!
  csextension <- as.factor(trimws(d[,"csextension"]))
  new.d <- data.frame(new.d, csextension)
  new.d <- apply_labels(new.d, csextension = "cs_extension")
temp.d <- data.frame (new.d.1, csextension)
summarytools::view(dfSummary(new.d$csextension, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 csextension [labelled, factor] cs_extension 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
3(0.2%)
6(0.4%)
7(0.4%)
1052(66.2%)
26(1.6%)
52(3.3%)
32(2.0%)
57(3.6%)
23(1.4%)
245(15.4%)
9(0.6%)
5(0.3%)
1(0.1%)
2(0.1%)
9(0.6%)
23(1.4%)
5(0.3%)
6(0.4%)
2(0.1%)
24(1.5%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
1(1.1%)
1(1.1%)
0(0.0%)
64(71.1%)
3(3.3%)
5(5.6%)
2(2.2%)
3(3.3%)
1(1.1%)
5(5.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.2%)
1(1.1%)
0(0.0%)
1(1.1%)
0(0.0%)
1(1.1%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
1(1.2%)
0(0.0%)
1(1.2%)
57(67.1%)
1(1.2%)
9(10.6%)
6(7.1%)
1(1.2%)
2(2.4%)
5(5.9%)
1(1.2%)
0(0.0%)
1(1.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
0(0.0%)
2(1.4%)
1(0.7%)
97(69.8%)
4(2.9%)
9(6.5%)
4(2.9%)
4(2.9%)
3(2.2%)
8(5.8%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.9%)
1(0.7%)
0(0.0%)
0(0.0%)
1(0.7%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
0(0.0%)
0(0.0%)
0(0.0%)
33(55.9%)
1(1.7%)
1(1.7%)
3(5.1%)
4(6.8%)
2(3.4%)
12(20.3%)
0(0.0%)
1(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.7%)
1(1.7%)
0(0.0%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
0(0.0%)
1(0.9%)
1(0.9%)
82(71.3%)
5(4.3%)
2(1.7%)
3(2.6%)
1(0.9%)
7(6.1%)
9(7.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.9%)
1(0.9%)
0(0.0%)
0(0.0%)
1(0.9%)
1(0.9%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
1(0.1%)
2(0.2%)
4(0.4%)
709(65.3%)
12(1.1%)
26(2.4%)
14(1.3%)
44(4.1%)
8(0.7%)
200(18.4%)
7(0.6%)
4(0.4%)
0(0.0%)
2(0.2%)
6(0.6%)
17(1.6%)
3(0.3%)
4(0.4%)
1(0.1%)
21(1.9%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_extension [factor] 1. 100 2. 130 3. 140 4. 150 5. 200 6. 210 7. 220 8. 230 9. 240 10. 300 11. 410 12. 420 13. 430 14. 440 15. 445 16. 450 17. 490 18. 500 19. 600 20. 999
0(0.0%)
0(0.0%)
0(0.0%)
10(62.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(37.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS LYMPH NODES


All data

st_css() #IMPORTANT!
  cslymphnodes <- as.factor(trimws(d[,"cslymphnodes"]))
  new.d <- data.frame(new.d, cslymphnodes)
  new.d <- apply_labels(new.d, cslymphnodes = "cs_lymph_nodes")
temp.d <- data.frame (new.d.1, cslymphnodes)
summarytools::view(dfSummary(new.d$cslymphnodes, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cslymphnodes [labelled, factor] cs_lymph_nodes 1. 0 2. 100 3. 800 4. 999
1496(94.1%)
64(4.0%)
1(0.1%)
28(1.8%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
83(92.2%)
7(7.8%)
0(0.0%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
83(97.6%)
2(2.4%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
125(89.9%)
11(7.9%)
0(0.0%)
3(2.2%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
57(96.6%)
2(3.4%)
0(0.0%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
109(94.8%)
5(4.3%)
0(0.0%)
1(0.9%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
1023(94.3%)
37(3.4%)
1(0.1%)
24(2.2%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_lymph_nodes [factor] 1. 0 2. 100 3. 800 4. 999
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS METS AT DX


All data

st_css() #IMPORTANT!
  csmetsatdx <- as.factor(trimws(d[,"csmetsatdx"]))
  new.d <- data.frame(new.d, csmetsatdx)
  new.d <- apply_labels(new.d, csmetsatdx = "cs_mets_at_dx")
temp.d <- data.frame (new.d.1, csmetsatdx)
summarytools::view(dfSummary(new.d$csmetsatdx, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 csmetsatdx [labelled, factor] cs_mets_at_dx 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
1531(96.3%)
1(0.1%)
6(0.4%)
24(1.5%)
4(0.3%)
2(0.1%)
1(0.1%)
1(0.1%)
19(1.2%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
88(97.8%)
0(0.0%)
1(1.1%)
0(0.0%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
83(97.6%)
1(1.2%)
0(0.0%)
1(1.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
134(96.4%)
0(0.0%)
0(0.0%)
3(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
56(94.9%)
0(0.0%)
0(0.0%)
3(5.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
113(98.3%)
0(0.0%)
0(0.0%)
2(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
1041(95.9%)
0(0.0%)
5(0.5%)
15(1.4%)
3(0.3%)
2(0.2%)
1(0.1%)
1(0.1%)
17(1.6%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_mets_at_dx [factor] 1. 0 2. 11 3. 12 4. 30 5. 35 6. 38 7. 40 8. 60 9. 99
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 7


All data

st_css() #IMPORTANT!
  cssitespecificfactor7 <- as.factor(trimws(d[,"cssitespecificfactor7"]))
  new.d <- data.frame(new.d, cssitespecificfactor7)
  new.d <- apply_labels(new.d, cssitespecificfactor7 = "cs_site_specific_factor7")
temp.d <- data.frame (new.d.1, cssitespecificfactor7)
summarytools::view(dfSummary(new.d$cssitespecificfactor7, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor7 [labelled, factor] cs_site_specific_factor7 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
1(0.0%)
2(0.1%)
479(22.5%)
609(28.6%)
33(1.5%)
450(21.1%)
290(13.6%)
141(6.6%)
6(0.3%)
49(2.3%)
19(0.9%)
23(1.1%)
5(0.2%)
25(1.2%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
0(0.0%)
0(0.0%)
57(30.2%)
54(28.6%)
3(1.6%)
35(18.5%)
12(6.3%)
13(6.9%)
0(0.0%)
4(2.1%)
0(0.0%)
6(3.2%)
1(0.5%)
4(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
0(0.0%)
0(0.0%)
62(35.6%)
59(33.9%)
2(1.1%)
29(16.7%)
9(5.2%)
7(4.0%)
0(0.0%)
2(1.1%)
2(1.1%)
0(0.0%)
1(0.6%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
0(0.0%)
0(0.0%)
64(27.0%)
69(29.1%)
2(0.8%)
34(14.3%)
35(14.8%)
17(7.2%)
0(0.0%)
3(1.3%)
3(1.3%)
6(2.5%)
0(0.0%)
4(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
0(0.0%)
0(0.0%)
23(16.2%)
39(27.5%)
0(0.0%)
39(27.5%)
28(19.7%)
7(4.9%)
1(0.7%)
3(2.1%)
0(0.0%)
1(0.7%)
0(0.0%)
1(0.7%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
0(0.0%)
0(0.0%)
45(15.5%)
76(26.2%)
12(4.1%)
68(23.4%)
51(17.6%)
22(7.6%)
0(0.0%)
9(3.1%)
4(1.4%)
3(1.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
1(0.1%)
2(0.2%)
222(20.5%)
307(28.3%)
14(1.3%)
242(22.3%)
154(14.2%)
75(6.9%)
5(0.5%)
28(2.6%)
10(0.9%)
6(0.6%)
3(0.3%)
15(1.4%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor7 [factor] 1. 23 2. 32 3. 33 4. 34 5. 35 6. 43 7. 44 8. 45 9. 53 10. 54 11. 55 12. 99 13. 998 14. 999
0(0.0%)
0(0.0%)
6(37.5%)
5(31.2%)
0(0.0%)
3(18.8%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 8


All data

st_css() #IMPORTANT!
  cssitespecificfactor8 <- as.factor(trimws(d[,"cssitespecificfactor8"]))
  new.d <- data.frame(new.d, cssitespecificfactor8)
  new.d <- apply_labels(new.d, cssitespecificfactor8 = "cs_site_specific_factor8")
temp.d <- data.frame (new.d.1, cssitespecificfactor8)
summarytools::view(dfSummary(new.d$cssitespecificfactor8, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor8 [labelled, factor] cs_site_specific_factor8 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
21(1.0%)
3(0.1%)
488(22.9%)
1073(50.3%)
332(15.6%)
192(9.0%)
5(0.2%)
18(0.8%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
0(0.0%)
0(0.0%)
59(31.2%)
92(48.7%)
16(8.5%)
18(9.5%)
1(0.5%)
3(1.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
2(1.1%)
0(0.0%)
62(35.6%)
88(50.6%)
11(6.3%)
9(5.2%)
1(0.6%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
4(1.7%)
0(0.0%)
66(27.8%)
104(43.9%)
38(16.0%)
21(8.9%)
0(0.0%)
4(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
0(0.0%)
0(0.0%)
23(16.2%)
79(55.6%)
29(20.4%)
10(7.0%)
0(0.0%)
1(0.7%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
4(1.4%)
0(0.0%)
45(15.5%)
146(50.3%)
63(21.7%)
31(10.7%)
0(0.0%)
1(0.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
11(1.0%)
3(0.3%)
226(20.8%)
556(51.3%)
174(16.1%)
103(9.5%)
3(0.3%)
8(0.7%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor8 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
0(0.0%)
0(0.0%)
7(43.8%)
8(50.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 9


All data

st_css() #IMPORTANT!
  cssitespecificfactor9 <- as.factor(trimws(d[,"cssitespecificfactor9"]))
  new.d <- data.frame(new.d, cssitespecificfactor9)
  new.d <- apply_labels(new.d, cssitespecificfactor9 = "cs_site_specific_factor9")
temp.d <- data.frame (new.d.1, cssitespecificfactor9)
summarytools::view(dfSummary(new.d$cssitespecificfactor9, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor9 [labelled, factor] cs_site_specific_factor9 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
1(0.0%)
143(6.7%)
462(21.7%)
10(0.5%)
216(10.1%)
44(2.1%)
54(2.5%)
2(0.1%)
13(0.6%)
5(0.2%)
1(0.0%)
1159(54.3%)
23(1.1%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
0(0.0%)
19(10.1%)
43(22.8%)
0(0.0%)
23(12.2%)
8(4.2%)
6(3.2%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
85(45.0%)
3(1.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
0(0.0%)
6(3.4%)
23(13.2%)
0(0.0%)
13(7.5%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
129(74.1%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
0(0.0%)
27(11.4%)
60(25.3%)
2(0.8%)
37(15.6%)
3(1.3%)
6(2.5%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
99(41.8%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
0(0.0%)
10(7.0%)
31(21.8%)
1(0.7%)
21(14.8%)
1(0.7%)
9(6.3%)
0(0.0%)
1(0.7%)
1(0.7%)
0(0.0%)
64(45.1%)
3(2.1%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
0(0.0%)
26(9.0%)
92(31.7%)
3(1.0%)
29(10.0%)
15(5.2%)
9(3.1%)
1(0.3%)
1(0.3%)
1(0.3%)
0(0.0%)
108(37.2%)
5(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
1(0.1%)
54(5.0%)
211(19.4%)
4(0.4%)
90(8.3%)
17(1.6%)
23(2.1%)
0(0.0%)
9(0.8%)
2(0.2%)
1(0.1%)
664(61.2%)
9(0.8%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor9 [factor] 1. 32 2. 33 3. 34 4. 35 5. 43 6. 44 7. 45 8. 53 9. 54 10. 55 11. 99 12. 998 13. 999
0(0.0%)
1(6.2%)
2(12.5%)
0(0.0%)
3(18.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
10(62.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 10


All data

st_css() #IMPORTANT!
  cssitespecificfactor10 <- as.factor(trimws(d[,"cssitespecificfactor10"]))
  new.d <- data.frame(new.d, cssitespecificfactor10)
  new.d <- apply_labels(new.d, cssitespecificfactor10 = "cs_site_specific_factor10")
temp.d <- data.frame (new.d.1, cssitespecificfactor10)
summarytools::view(dfSummary(new.d$cssitespecificfactor10, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor10 [labelled, factor] cs_site_specific_factor10 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
5(0.2%)
1(0.0%)
145(6.8%)
682(32.0%)
56(2.6%)
67(3.1%)
1159(54.3%)
18(0.8%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
0(0.0%)
0(0.0%)
19(10.1%)
66(34.9%)
8(4.2%)
8(4.2%)
85(45.0%)
3(1.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
0(0.0%)
0(0.0%)
6(3.4%)
36(20.7%)
0(0.0%)
1(0.6%)
129(74.1%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
1(0.4%)
0(0.0%)
27(11.4%)
97(40.9%)
6(2.5%)
6(2.5%)
99(41.8%)
1(0.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
1(0.7%)
0(0.0%)
10(7.0%)
52(36.6%)
2(1.4%)
10(7.0%)
64(45.1%)
3(2.1%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
1(0.3%)
0(0.0%)
26(9.0%)
121(41.7%)
19(6.6%)
10(3.4%)
108(37.2%)
5(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
2(0.2%)
1(0.1%)
56(5.2%)
305(28.1%)
21(1.9%)
32(2.9%)
664(61.2%)
4(0.4%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor10 [factor] 1. 10 2. 5 3. 6 4. 7 5. 8 6. 9 7. 998 8. 999
0(0.0%)
0(0.0%)
1(6.2%)
5(31.2%)
0(0.0%)
0(0.0%)
10(62.5%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 11


All data

st_css() #IMPORTANT!
  cssitespecificfactor11 <- as.factor(trimws(d[,"cssitespecificfactor11"]))
  new.d <- data.frame(new.d, cssitespecificfactor11)
  new.d <- apply_labels(new.d, cssitespecificfactor11 = "cs_site_specific_factor11")
temp.d <- data.frame (new.d.1, cssitespecificfactor11)
summarytools::view(dfSummary(new.d$cssitespecificfactor11, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor11 [labelled, factor] cs_site_specific_factor11 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
22(1.0%)
39(1.8%)
113(5.3%)
162(7.6%)
1129(52.9%)
668(31.3%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
1(0.5%)
2(1.1%)
14(7.4%)
14(7.4%)
81(42.9%)
77(40.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
0(0.0%)
3(1.7%)
9(5.2%)
3(1.7%)
129(74.1%)
30(17.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
0(0.0%)
7(3.0%)
18(7.6%)
16(6.8%)
106(44.7%)
90(38.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
3(2.1%)
1(0.7%)
8(5.6%)
45(31.7%)
43(30.3%)
42(29.6%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
7(2.4%)
8(2.8%)
26(9.0%)
10(3.4%)
108(37.2%)
131(45.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
11(1.0%)
18(1.7%)
38(3.5%)
71(6.5%)
654(60.3%)
293(27.0%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor11 [factor] 1. 30 2. 40 3. 50 4. 988 5. 998 6. 999
0(0.0%)
0(0.0%)
0(0.0%)
3(18.8%)
8(50.0%)
5(31.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 12


All data

st_css() #IMPORTANT!
  cssitespecificfactor12 <- as.factor(trimws(d[,"cssitespecificfactor12"]))
  new.d <- data.frame(new.d, cssitespecificfactor12)
  new.d <- apply_labels(new.d, cssitespecificfactor12 = "cs_site_specific_factor12")
temp.d <- data.frame (new.d.1, cssitespecificfactor12)
summarytools::view(dfSummary(new.d$cssitespecificfactor12, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor12 [labelled, factor] cs_site_specific_factor12 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
4(0.2%)
218(10.2%)
77(3.6%)
66(3.1%)
76(3.6%)
12(0.6%)
13(0.6%)
6(0.3%)
6(0.3%)
1(0.0%)
1(0.0%)
2(0.1%)
213(10.0%)
2(0.1%)
1(0.0%)
3(0.1%)
2(0.1%)
216(10.1%)
1(0.0%)
1(0.0%)
203(9.5%)
193(9.1%)
179(8.4%)
100(4.7%)
97(4.5%)
73(3.4%)
311(14.6%)
18(0.8%)
37(1.7%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
0(0.0%)
21(11.1%)
2(1.1%)
5(2.6%)
3(1.6%)
2(1.1%)
1(0.5%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
1(0.5%)
15(7.9%)
1(0.5%)
0(0.0%)
0(0.0%)
1(0.5%)
25(13.2%)
0(0.0%)
0(0.0%)
16(8.5%)
11(5.8%)
11(5.8%)
9(4.8%)
11(5.8%)
7(3.7%)
38(20.1%)
3(1.6%)
4(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
1(0.6%)
27(15.5%)
6(3.4%)
2(1.1%)
6(3.4%)
1(0.6%)
1(0.6%)
2(1.1%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
18(10.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
21(12.1%)
0(0.0%)
0(0.0%)
20(11.5%)
16(9.2%)
10(5.7%)
12(6.9%)
5(2.9%)
7(4.0%)
15(8.6%)
2(1.1%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
1(0.4%)
21(8.9%)
14(5.9%)
14(5.9%)
7(3.0%)
1(0.4%)
0(0.0%)
2(0.8%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
17(7.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
16(6.8%)
0(0.0%)
0(0.0%)
25(10.5%)
21(8.9%)
25(10.5%)
10(4.2%)
11(4.6%)
7(3.0%)
39(16.5%)
2(0.8%)
2(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
0(0.0%)
15(10.6%)
6(4.2%)
3(2.1%)
4(2.8%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
14(9.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
14(9.9%)
0(0.0%)
0(0.0%)
9(6.3%)
20(14.1%)
22(15.5%)
12(8.5%)
7(4.9%)
4(2.8%)
10(7.0%)
0(0.0%)
1(0.7%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
1(0.3%)
22(7.6%)
10(3.4%)
11(3.8%)
7(2.4%)
3(1.0%)
3(1.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
28(9.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
27(9.3%)
0(0.0%)
0(0.0%)
27(9.3%)
30(10.3%)
33(11.4%)
13(4.5%)
18(6.2%)
4(1.4%)
46(15.9%)
3(1.0%)
3(1.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
1(0.1%)
109(10.1%)
39(3.6%)
31(2.9%)
49(4.5%)
5(0.5%)
8(0.7%)
2(0.2%)
1(0.1%)
0(0.0%)
1(0.1%)
0(0.0%)
117(10.8%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
113(10.4%)
1(0.1%)
1(0.1%)
106(9.8%)
95(8.8%)
77(7.1%)
43(4.0%)
45(4.2%)
42(3.9%)
158(14.6%)
8(0.7%)
26(2.4%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor12 [factor] 1. 0 2. 1 3. 10 4. 11 5. 12 6. 13 7. 14 8. 15 9. 16 10. 17 11. 18 12. 19 13. 2 14. 20 15. 21 16. 23 17. 26 18. 3 19. 35 20. 38 21. 4 22. 5 23. 6 24. 7 25. 8 26. 9 27. 991 28. 998 29. 999
0(0.0%)
3(18.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
0(0.0%)
2(12.5%)
5(31.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 13


All data

st_css() #IMPORTANT!
  cssitespecificfactor13 <- as.factor(trimws(d[,"cssitespecificfactor13"]))
  new.d <- data.frame(new.d, cssitespecificfactor13)
  new.d <- apply_labels(new.d, cssitespecificfactor13 = "cs_site_specific_factor13")
temp.d <- data.frame (new.d.1, cssitespecificfactor13)
summarytools::view(dfSummary(new.d$cssitespecificfactor13, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor13 [labelled, factor] cs_site_specific_factor13 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
3(0.1%)
34(1.6%)
22(1.0%)
994(46.6%)
65(3.0%)
172(8.1%)
49(2.3%)
58(2.7%)
24(1.1%)
30(1.4%)
20(0.9%)
7(0.3%)
8(0.4%)
9(0.4%)
6(0.3%)
3(0.1%)
5(0.2%)
1(0.0%)
3(0.1%)
7(0.3%)
4(0.2%)
2(0.1%)
6(0.3%)
1(0.0%)
1(0.0%)
2(0.1%)
2(0.1%)
1(0.0%)
2(0.1%)
2(0.1%)
2(0.1%)
1(0.0%)
7(0.3%)
2(0.1%)
2(0.1%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
16(0.8%)
61(2.9%)
12(0.6%)
21(1.0%)
8(0.4%)
399(18.7%)
18(0.8%)
36(1.7%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
1(0.5%)
4(2.1%)
1(0.5%)
69(36.5%)
5(2.6%)
12(6.3%)
2(1.1%)
6(3.2%)
3(1.6%)
1(0.5%)
3(1.6%)
2(1.1%)
1(0.5%)
2(1.1%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
8(4.2%)
0(0.0%)
3(1.6%)
1(0.5%)
52(27.5%)
3(1.6%)
4(2.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
0(0.0%)
2(1.1%)
2(1.1%)
68(39.1%)
4(2.3%)
35(20.1%)
7(4.0%)
10(5.7%)
6(3.4%)
5(2.9%)
2(1.1%)
0(0.0%)
3(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
4(2.3%)
2(1.1%)
1(0.6%)
1(0.6%)
15(8.6%)
2(1.1%)
1(0.6%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
0(0.0%)
5(2.1%)
3(1.3%)
106(44.7%)
6(2.5%)
21(8.9%)
9(3.8%)
8(3.4%)
3(1.3%)
4(1.7%)
2(0.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
6(2.5%)
1(0.4%)
0(0.0%)
0(0.0%)
56(23.6%)
2(0.8%)
2(0.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
0(0.0%)
2(1.4%)
5(3.5%)
70(49.3%)
11(7.7%)
8(5.6%)
2(1.4%)
4(2.8%)
0(0.0%)
2(1.4%)
1(0.7%)
0(0.0%)
0(0.0%)
1(0.7%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
32(22.5%)
0(0.0%)
2(1.4%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
0(0.0%)
5(1.7%)
2(0.7%)
101(34.8%)
2(0.7%)
47(16.2%)
4(1.4%)
3(1.0%)
2(0.7%)
2(0.7%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
12(4.1%)
5(1.7%)
7(2.4%)
4(1.4%)
83(28.6%)
3(1.0%)
3(1.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
2(0.2%)
16(1.5%)
9(0.8%)
575(53.0%)
37(3.4%)
49(4.5%)
25(2.3%)
27(2.5%)
10(0.9%)
16(1.5%)
11(1.0%)
5(0.5%)
4(0.4%)
6(0.6%)
4(0.4%)
2(0.2%)
4(0.4%)
0(0.0%)
3(0.3%)
7(0.6%)
2(0.2%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
1(0.1%)
6(0.6%)
2(0.2%)
2(0.2%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
12(1.1%)
31(2.9%)
4(0.4%)
10(0.9%)
1(0.1%)
150(13.8%)
8(0.7%)
24(2.2%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor13 [factor] 1. 1 2. 10 3. 11 4. 12 5. 13 6. 14 7. 15 8. 16 9. 17 10. 18 11. 19 12. 2 13. 20 14. 21 15. 22 16. 23 17. 24 18. 25 19. 26 20. 27 21. 28 22. 29 23. 3 24. 30 25. 31 26. 32 27. 33 28. 34 29. 35 30. 36 31. 37 32. 38 33. 4 34. 40 35. 41 36. 42 37. 43 38. 47 39. 48 40. 5 41. 6 42. 7 43. 8 44. 9 45. 991 46. 998 47. 999
0(0.0%)
0(0.0%)
0(0.0%)
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
11(68.8%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 14


All data

st_css() #IMPORTANT!
  cssitespecificfactor14 <- as.factor(trimws(d[,"cssitespecificfactor14"]))
  new.d <- data.frame(new.d, cssitespecificfactor14)
  new.d <- apply_labels(new.d, cssitespecificfactor14 = "cs_site_specific_factor14")
temp.d <- data.frame (new.d.1, cssitespecificfactor14)
summarytools::view(dfSummary(new.d$cssitespecificfactor14, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor14 [labelled, factor] cs_site_specific_factor14 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
2(0.1%)
489(22.9%)
707(33.2%)
105(4.9%)
2(0.1%)
745(34.9%)
18(0.8%)
64(3.0%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
0(0.0%)
58(30.7%)
82(43.4%)
15(7.9%)
0(0.0%)
32(16.9%)
1(0.5%)
1(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
1(0.6%)
76(43.7%)
77(44.3%)
0(0.0%)
0(0.0%)
17(9.8%)
3(1.7%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
1(0.4%)
78(32.9%)
112(47.3%)
18(7.6%)
2(0.8%)
20(8.4%)
2(0.8%)
4(1.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
0(0.0%)
7(4.9%)
18(12.7%)
7(4.9%)
0(0.0%)
107(75.4%)
2(1.4%)
1(0.7%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
0(0.0%)
81(27.9%)
128(44.1%)
18(6.2%)
0(0.0%)
47(16.2%)
4(1.4%)
12(4.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
0(0.0%)
186(17.2%)
288(26.6%)
47(4.3%)
0(0.0%)
511(47.1%)
6(0.6%)
46(4.2%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor14 [factor] 1. 0 2. 10 3. 20 4. 30 5. 50 6. 988 7. 998 8. 999
0(0.0%)
3(18.8%)
2(12.5%)
0(0.0%)
0(0.0%)
11(68.8%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 15


All data

st_css() #IMPORTANT!
  cssitespecificfactor15 <- as.factor(trimws(d[,"cssitespecificfactor15"]))
  new.d <- data.frame(new.d, cssitespecificfactor15)
  new.d <- apply_labels(new.d, cssitespecificfactor15 = "cs_site_specific_factor15")
temp.d <- data.frame (new.d.1, cssitespecificfactor15)
summarytools::view(dfSummary(new.d$cssitespecificfactor15, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor15 [labelled, factor] cs_site_specific_factor15 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
30(1.4%)
167(7.8%)
177(8.3%)
734(34.4%)
752(35.3%)
272(12.8%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
3(1.6%)
14(7.4%)
13(6.9%)
105(55.6%)
31(16.4%)
23(12.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
2(1.1%)
33(19.0%)
18(10.3%)
99(56.9%)
17(9.8%)
5(2.9%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
4(1.7%)
24(10.1%)
24(10.1%)
144(60.8%)
21(8.9%)
20(8.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
0(0.0%)
4(2.8%)
2(1.4%)
13(9.2%)
112(78.9%)
11(7.7%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
9(3.1%)
26(9.0%)
26(9.0%)
145(50.0%)
50(17.2%)
34(11.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
12(1.1%)
66(6.1%)
94(8.7%)
225(20.8%)
509(47.0%)
178(16.4%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor15 [factor] 1. 0 2. 10 3. 20 4. 30 5. 988 6. 999
0(0.0%)
0(0.0%)
0(0.0%)
3(18.8%)
12(75.0%)
1(6.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 1


All data

st_css() #IMPORTANT!
  cssitespecificfactor1 <- as.factor(trimws(d[,"cssitespecificfactor1"]))
  new.d <- data.frame(new.d, cssitespecificfactor1)
  new.d <- apply_labels(new.d, cssitespecificfactor1 = "cs_site_specific_factor1")
temp.d <- data.frame (new.d.1, cssitespecificfactor1)
summarytools::view(dfSummary(new.d$cssitespecificfactor1, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor1 [labelled, factor] cs_site_specific_factor1 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
3(0.1%)
2(0.1%)
14(0.7%)
9(0.4%)
8(0.4%)
10(0.5%)
5(0.2%)
12(0.6%)
8(0.4%)
5(0.2%)
2(0.1%)
4(0.2%)
2(0.1%)
6(0.3%)
7(0.3%)
6(0.3%)
5(0.2%)
6(0.3%)
6(0.3%)
4(0.2%)
2(0.1%)
4(0.2%)
6(0.3%)
11(0.5%)
6(0.3%)
5(0.2%)
2(0.1%)
2(0.1%)
7(0.3%)
2(0.1%)
7(0.3%)
7(0.3%)
6(0.3%)
2(0.1%)
6(0.3%)
2(0.1%)
3(0.1%)
7(0.3%)
2(0.1%)
1(0.0%)
6(0.3%)
4(0.2%)
5(0.2%)
2(0.1%)
2(0.1%)
4(0.2%)
3(0.1%)
2(0.1%)
2(0.1%)
3(0.1%)
1885(88.4%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
2(1.1%)
0(0.0%)
2(1.1%)
3(1.6%)
1(0.5%)
2(1.1%)
2(1.1%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
1(0.5%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
0(0.0%)
2(1.1%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
161(85.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
3(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.1%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
155(89.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
0(0.0%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
2(0.8%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
2(0.8%)
2(0.8%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
209(88.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
1(0.7%)
1(0.7%)
0(0.0%)
1(0.7%)
1(0.7%)
1(0.7%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
131(92.3%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
1(0.3%)
2(0.7%)
1(0.3%)
1(0.3%)
0(0.0%)
2(0.7%)
0(0.0%)
1(0.3%)
1(0.3%)
2(0.7%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
1(0.3%)
1(0.3%)
1(0.3%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
1(0.3%)
1(0.3%)
0(0.0%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
261(90.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
1(0.1%)
1(0.1%)
9(0.8%)
4(0.4%)
4(0.4%)
5(0.5%)
2(0.2%)
8(0.7%)
5(0.5%)
2(0.2%)
0(0.0%)
2(0.2%)
0(0.0%)
5(0.5%)
1(0.1%)
4(0.4%)
0(0.0%)
2(0.2%)
4(0.4%)
3(0.3%)
0(0.0%)
3(0.3%)
4(0.4%)
8(0.7%)
3(0.3%)
3(0.3%)
1(0.1%)
2(0.2%)
4(0.4%)
2(0.2%)
5(0.5%)
4(0.4%)
4(0.4%)
2(0.2%)
2(0.2%)
0(0.0%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
3(0.3%)
0(0.0%)
2(0.2%)
0(0.0%)
1(0.1%)
3(0.3%)
2(0.2%)
2(0.2%)
2(0.2%)
1(0.1%)
954(88.0%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor1 [factor] 1. 1 2. 10 3. 100 4. 101 5. 102 6. 103 7. 104 8. 105 9. 106 10. 107 11. 108 12. 109 13. 11 14. 110 15. 111 16. 112 17. 113 18. 114 19. 115 20. 116 21. 117 22. 118 23. 119 24. 120 25. 121 26. 122 27. 123 28. 124 29. 125 30. 126 31. 127 32. 128 33. 129 34. 13 35. 130 36. 131 37. 132 38. 133 39. 134 40. 135 41. 136 42. 137 43. 138 44. 139 45. 14 46. 140 47. 141 48. 142 49. 143 50. 144 [ 308 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
14(87.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 2


All data

st_css() #IMPORTANT!
  cssitespecificfactor2 <- as.factor(trimws(d[,"cssitespecificfactor2"]))
  new.d <- data.frame(new.d, cssitespecificfactor2)
  new.d <- apply_labels(new.d, cssitespecificfactor2 = "cs_site_specific_factor2")
temp.d <- data.frame (new.d.1, cssitespecificfactor2)
summarytools::view(dfSummary(new.d$cssitespecificfactor2, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor2 [labelled, factor] cs_site_specific_factor2 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
1989(93.3%)
54(2.5%)
5(0.2%)
9(0.4%)
7(0.3%)
68(3.2%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
173(91.5%)
9(4.8%)
1(0.5%)
0(0.0%)
0(0.0%)
6(3.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
162(93.1%)
7(4.0%)
1(0.6%)
1(0.6%)
1(0.6%)
2(1.1%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
217(91.6%)
7(3.0%)
0(0.0%)
1(0.4%)
2(0.8%)
10(4.2%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
130(91.5%)
4(2.8%)
0(0.0%)
3(2.1%)
0(0.0%)
5(3.5%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
278(95.9%)
7(2.4%)
0(0.0%)
0(0.0%)
1(0.3%)
4(1.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
1016(93.7%)
20(1.8%)
3(0.3%)
3(0.3%)
3(0.3%)
39(3.6%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor2 [factor] 1. 10 2. 20 3. 30 4. 997 5. 998 6. 999
13(81.2%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
2(12.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 3


All data

st_css() #IMPORTANT!
  cssitespecificfactor3 <- as.factor(trimws(d[,"cssitespecificfactor3"]))
  new.d <- data.frame(new.d, cssitespecificfactor3)
  new.d <- apply_labels(new.d, cssitespecificfactor3 = "cs_site_specific_factor3")
temp.d <- data.frame (new.d.1, cssitespecificfactor3)
summarytools::view(dfSummary(new.d$cssitespecificfactor3, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor3 [labelled, factor] cs_site_specific_factor3 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
1(0.0%)
5(0.2%)
45(2.1%)
11(0.5%)
499(23.4%)
40(1.9%)
2(0.1%)
2(0.1%)
1(0.0%)
11(0.5%)
6(0.3%)
1(0.0%)
1(0.0%)
51(2.4%)
41(1.9%)
54(2.5%)
9(0.4%)
34(1.6%)
20(0.9%)
11(0.5%)
100(4.7%)
11(0.5%)
2(0.1%)
3(0.1%)
2(0.1%)
25(1.2%)
1134(53.2%)
5(0.2%)
6(0.3%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
0(0.0%)
1(0.5%)
4(2.1%)
3(1.6%)
53(28.0%)
0(0.0%)
0(0.0%)
2(1.1%)
0(0.0%)
2(1.1%)
1(0.5%)
0(0.0%)
1(0.5%)
6(3.2%)
6(3.2%)
7(3.7%)
1(0.5%)
3(1.6%)
1(0.5%)
0(0.0%)
11(5.8%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
83(43.9%)
1(0.5%)
1(0.5%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
0(0.0%)
0(0.0%)
5(2.9%)
0(0.0%)
14(8.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.7%)
4(2.3%)
5(2.9%)
1(0.6%)
3(1.7%)
3(1.7%)
0(0.0%)
4(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
129(74.1%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
0(0.0%)
3(1.3%)
5(2.1%)
1(0.4%)
73(30.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(1.3%)
0(0.0%)
1(0.4%)
0(0.0%)
12(5.1%)
9(3.8%)
7(3.0%)
2(0.8%)
6(2.5%)
2(0.8%)
0(0.0%)
10(4.2%)
3(1.3%)
1(0.4%)
0(0.0%)
0(0.0%)
3(1.3%)
96(40.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
0(0.0%)
0(0.0%)
3(2.1%)
1(0.7%)
33(23.2%)
3(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
1(0.7%)
0(0.0%)
0(0.0%)
6(4.2%)
1(0.7%)
10(7.0%)
0(0.0%)
4(2.8%)
0(0.0%)
0(0.0%)
12(8.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
66(46.5%)
0(0.0%)
0(0.0%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
0(0.0%)
0(0.0%)
9(3.1%)
1(0.3%)
87(30.0%)
2(0.7%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
2(0.7%)
0(0.0%)
0(0.0%)
13(4.5%)
10(3.4%)
9(3.1%)
5(1.7%)
9(3.1%)
3(1.0%)
3(1.0%)
19(6.6%)
2(0.7%)
1(0.3%)
1(0.3%)
0(0.0%)
6(2.1%)
104(35.9%)
2(0.7%)
1(0.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
1(0.1%)
1(0.1%)
19(1.8%)
5(0.5%)
235(21.7%)
35(3.2%)
1(0.1%)
0(0.0%)
0(0.0%)
3(0.3%)
2(0.2%)
0(0.0%)
0(0.0%)
11(1.0%)
11(1.0%)
16(1.5%)
0(0.0%)
9(0.8%)
10(0.9%)
8(0.7%)
44(4.1%)
4(0.4%)
0(0.0%)
2(0.2%)
1(0.1%)
15(1.4%)
646(59.5%)
2(0.2%)
4(0.4%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor3 [factor] 1. 0 2. 200 3. 210 4. 220 5. 230 6. 300 7. 320 8. 330 9. 340 10. 350 11. 400 12. 402 13. 404 14. 406 15. 415 16. 420 17. 430 18. 480 19. 482 20. 483 21. 485 22. 490 23. 495 24. 500 25. 950 26. 960 27. 970 28. 980 29. 990
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
10(62.5%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 4


All data

st_css() #IMPORTANT!
  cssitespecificfactor4 <- as.factor(trimws(d[,"cssitespecificfactor4"]))
  new.d <- data.frame(new.d, cssitespecificfactor4)
  new.d <- apply_labels(new.d, cssitespecificfactor4 = "cs_site_specific_factor4")
temp.d <- data.frame (new.d.1, cssitespecificfactor4)
summarytools::view(dfSummary(new.d$cssitespecificfactor4, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor4 [labelled, factor] cs_site_specific_factor4 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
19(0.9%)
1(0.0%)
3(0.1%)
38(1.8%)
9(0.4%)
10(0.5%)
1(0.0%)
1(0.0%)
73(3.4%)
1(0.0%)
1(0.0%)
3(0.1%)
1(0.0%)
3(0.1%)
11(0.5%)
1(0.0%)
2(0.1%)
1(0.0%)
278(13.0%)
1675(78.6%)
35 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
2(1.1%)
0(0.0%)
0(0.0%)
2(1.1%)
2(1.1%)
1(0.5%)
0(0.0%)
0(0.0%)
3(1.6%)
1(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.5%)
0(0.0%)
1(0.5%)
0(0.0%)
9(4.8%)
167(88.4%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
0(0.0%)
0(0.0%)
1(0.6%)
9(5.2%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
9(5.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
8(4.6%)
145(83.3%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
0(0.0%)
0(0.0%)
1(0.4%)
2(0.8%)
3(1.3%)
2(0.8%)
0(0.0%)
1(0.4%)
4(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
21(8.9%)
201(84.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
7(4.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
0(0.0%)
2(1.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
19(13.4%)
113(79.6%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
2(0.7%)
0(0.0%)
1(0.3%)
4(1.4%)
2(0.7%)
2(0.7%)
1(0.3%)
0(0.0%)
23(7.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.3%)
0(0.0%)
0(0.0%)
23(7.9%)
231(79.7%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
8(0.7%)
1(0.1%)
0(0.0%)
21(1.9%)
0(0.0%)
4(0.4%)
0(0.0%)
0(0.0%)
32(3.0%)
0(0.0%)
1(0.1%)
3(0.3%)
1(0.1%)
3(0.3%)
9(0.8%)
0(0.0%)
0(0.0%)
1(0.1%)
197(18.2%)
803(74.1%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor4 [factor] 1. 110 2. 120 3. 140 4. 150 5. 210 6. 220 7. 230 8. 240 9. 250 10. 310 11. 330 12. 350 13. 430 14. 440 15. 450 16. 510 17. 520 18. 540 19. 550 20. 988
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
15(93.8%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 5


All data

st_css() #IMPORTANT!
  cssitespecificfactor5 <- as.factor(trimws(d[,"cssitespecificfactor5"]))
  new.d <- data.frame(new.d, cssitespecificfactor5)
  new.d <- apply_labels(new.d, cssitespecificfactor5 = "cs_site_specific_factor5")
temp.d <- data.frame (new.d.1, cssitespecificfactor5)
summarytools::view(dfSummary(new.d$cssitespecificfactor5, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor5 [labelled, factor] cs_site_specific_factor5 1. 988
2133(100.0%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
142(100.0%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
1085(100.0%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor5 [factor] 1. 988
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


CS SITE-SPECIFIC FACTOR 6


All data

st_css() #IMPORTANT!
  cssitespecificfactor6 <- as.factor(trimws(d[,"cssitespecificfactor6"]))
  new.d <- data.frame(new.d, cssitespecificfactor6)
  new.d <- apply_labels(new.d, cssitespecificfactor6 = "cs_site_specific_factor6")
temp.d <- data.frame (new.d.1, cssitespecificfactor6)
summarytools::view(dfSummary(new.d$cssitespecificfactor6, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 cssitespecificfactor6 [labelled, factor] cs_site_specific_factor6 1. 988
2133(100.0%)
34 (1.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
189(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
174(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
237(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
142(100.0%)
32 (18.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
290(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
1085(100.0%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 cs_site_specific_factor6 [factor] 1. 988
16(100.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-6 T


All data

st_css() #IMPORTANT!
  derivedajcc6t <- as.factor(trimws(d[,"derivedajcc6t"]))
  new.d <- data.frame(new.d, derivedajcc6t)
  new.d <- apply_labels(new.d, derivedajcc6t = "derived_ajcc_6t")
temp.d <- data.frame (new.d.1, derivedajcc6t)
summarytools::view(dfSummary(new.d$derivedajcc6t, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc6t [labelled, factor] derived_ajcc_6t 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
5(0.3%)
7(0.4%)
608(38.3%)
2(0.1%)
64(4.0%)
25(1.6%)
440(27.7%)
199(12.5%)
99(6.2%)
80(5.0%)
10(0.6%)
30(1.9%)
20(1.3%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
0(0.0%)
0(0.0%)
20(22.2%)
0(0.0%)
5(5.6%)
5(5.6%)
38(42.2%)
1(1.1%)
13(14.4%)
6(6.7%)
0(0.0%)
2(2.2%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
0(0.0%)
1(1.2%)
45(52.9%)
1(1.2%)
8(9.4%)
3(3.5%)
11(12.9%)
7(8.2%)
7(8.2%)
1(1.2%)
1(1.2%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
2(1.4%)
1(0.7%)
48(34.5%)
0(0.0%)
7(5.0%)
2(1.4%)
47(33.8%)
8(5.8%)
12(8.6%)
9(6.5%)
1(0.7%)
1(0.7%)
1(0.7%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
0(0.0%)
0(0.0%)
10(16.9%)
0(0.0%)
2(3.4%)
1(1.7%)
28(47.5%)
6(10.2%)
6(10.2%)
4(6.8%)
1(1.7%)
1(1.7%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
1(0.9%)
1(0.9%)
27(23.5%)
0(0.0%)
7(6.1%)
2(1.7%)
46(40.0%)
12(10.4%)
10(8.7%)
5(4.3%)
0(0.0%)
4(3.5%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
2(0.2%)
4(0.4%)
453(41.8%)
1(0.1%)
35(3.2%)
12(1.1%)
265(24.4%)
160(14.7%)
51(4.7%)
55(5.1%)
7(0.6%)
21(1.9%)
19(1.8%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6t [factor] 1. 12 2. 15 3. 18 4. 19 5. 21 6. 22 7. 23 8. 29 9. 31 10. 32 11. 39 12. 40 13. 99
0(0.0%)
0(0.0%)
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
5(31.2%)
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-6 N


All data

st_css() #IMPORTANT!
  derivedajcc6n <- as.factor(trimws(d[,"derivedajcc6n"]))
  new.d <- data.frame(new.d, derivedajcc6n)
  new.d <- apply_labels(new.d, derivedajcc6n = "derived_ajcc_6n")
temp.d <- data.frame (new.d.1, derivedajcc6n)
summarytools::view(dfSummary(new.d$derivedajcc6n, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc6n [labelled, factor] derived_ajcc_6n 1. 0 2. 10 3. 99
1496(94.1%)
65(4.1%)
28(1.8%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
83(92.2%)
7(7.8%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
83(97.6%)
2(2.4%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
125(89.9%)
11(7.9%)
3(2.2%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
57(96.6%)
2(3.4%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
109(94.8%)
5(4.3%)
1(0.9%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
1023(94.3%)
38(3.5%)
24(2.2%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6n [factor] 1. 0 2. 10 3. 99
16(100.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-6 M


All data

st_css() #IMPORTANT!
  derivedajcc6m <- as.factor(trimws(d[,"derivedajcc6m"]))
  new.d <- data.frame(new.d, derivedajcc6m)
  new.d <- apply_labels(new.d, derivedajcc6m = "derived_ajcc_6m")
temp.d <- data.frame (new.d.1, derivedajcc6m)
summarytools::view(dfSummary(new.d$derivedajcc6m, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc6m [labelled, factor] derived_ajcc_6m 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
1531(96.3%)
7(0.4%)
30(1.9%)
1(0.1%)
1(0.1%)
19(1.2%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
88(97.8%)
1(1.1%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
83(97.6%)
1(1.2%)
1(1.2%)
0(0.0%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
134(96.4%)
0(0.0%)
3(2.2%)
0(0.0%)
0(0.0%)
2(1.4%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
56(94.9%)
0(0.0%)
3(5.1%)
0(0.0%)
0(0.0%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
113(98.3%)
0(0.0%)
2(1.7%)
0(0.0%)
0(0.0%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
1041(95.9%)
5(0.5%)
20(1.8%)
1(0.1%)
1(0.1%)
17(1.6%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6m [factor] 1. 0 2. 11 3. 12 4. 13 5. 19 6. 99
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-6 STAGE GRP


All data

st_css() #IMPORTANT!
  derivedajcc6stagegrp <- as.factor(trimws(d[,"derivedajcc6stagegrp"]))
  new.d <- data.frame(new.d, derivedajcc6stagegrp)
  new.d <- apply_labels(new.d, derivedajcc6stagegrp = "derived_ajcc_6_stage_grp")
temp.d <- data.frame (new.d.1, derivedajcc6stagegrp)
summarytools::view(dfSummary(new.d$derivedajcc6stagegrp, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc6stagegrp [labelled, factor] derived_ajcc_6_stage_grp 1. 10 2. 30 3. 50 4. 70 5. 99
4(0.3%)
1281(80.6%)
155(9.8%)
112(7.0%)
37(2.3%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
0(0.0%)
67(74.4%)
16(17.8%)
7(7.8%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
0(0.0%)
74(87.1%)
8(9.4%)
3(3.5%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
2(1.4%)
106(76.3%)
16(11.5%)
13(9.4%)
2(1.4%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
0(0.0%)
45(76.3%)
9(15.3%)
5(8.5%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
0(0.0%)
91(79.1%)
12(10.4%)
11(9.6%)
1(0.9%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
2(0.2%)
883(81.4%)
94(8.7%)
72(6.6%)
34(3.1%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_6_stage_grp [factor] 1. 10 2. 30 3. 50 4. 70 5. 99
0(0.0%)
15(93.8%)
0(0.0%)
1(6.2%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SS1977


All data

st_css() #IMPORTANT!
  derivedss1977 <- as.factor(trimws(d[,"derivedss1977"]))
  new.d <- data.frame(new.d, derivedss1977)
  new.d <- apply_labels(new.d, derivedss1977 = "derived_ss1977")
temp.d <- data.frame (new.d.1, derivedss1977)
summarytools::view(dfSummary(new.d$derivedss1977, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedss1977 [labelled, factor] derived_ss1977 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
1302(81.9%)
175(11.0%)
20(1.3%)
32(2.0%)
40(2.5%)
20(1.3%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
67(74.4%)
16(17.8%)
1(1.1%)
4(4.4%)
2(2.2%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
74(87.1%)
8(9.4%)
1(1.2%)
1(1.2%)
1(1.2%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
109(78.4%)
16(11.5%)
3(2.2%)
7(5.0%)
3(2.2%)
1(0.7%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
45(76.3%)
9(15.3%)
0(0.0%)
2(3.4%)
3(5.1%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
92(80.0%)
15(13.0%)
2(1.7%)
3(2.6%)
3(2.6%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
900(82.9%)
110(10.1%)
13(1.2%)
15(1.4%)
28(2.6%)
19(1.8%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss1977 [factor] 1. 1 2. 2 3. 3 4. 4 5. 7 6. 9
15(93.8%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SS2000


All data

st_css() #IMPORTANT!
  derivedss2000 <- as.factor(d[,"derivedss2000"])
  levels(derivedss2000) <- list(In_situ.0="0",
                                          Localized.1="1",
                                          Direct_extension.2="2",
                                          Lymph_nodes_only.3="3",
                                          Extension_nodes.4="4",
                                          Distant.7="7",
                                          Unknown.9="9")
    derivedss2000 <- relevel(derivedss2000, ref="Localized.1")
    new.d <- data.frame(new.d, derivedss2000)
    new.d <- apply_labels(new.d, derivedss2000 = "Tumor Staging")
    #summary(new.d$derivedss2000)
temp.d <- data.frame (new.d.1, derivedss2000)
summarytools::view(dfSummary(new.d$derivedss2000, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedss2000 [labelled, factor] Tumor Staging 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
1264(79.5%)
0(0.0%)
213(13.4%)
17(1.1%)
34(2.1%)
41(2.6%)
20(1.3%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
61(67.8%)
0(0.0%)
22(24.4%)
1(1.1%)
4(4.4%)
2(2.2%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
71(83.5%)
0(0.0%)
11(12.9%)
0(0.0%)
1(1.2%)
2(2.4%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
103(74.1%)
0(0.0%)
22(15.8%)
3(2.2%)
7(5.0%)
3(2.2%)
1(0.7%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
41(69.5%)
0(0.0%)
13(22.0%)
0(0.0%)
2(3.4%)
3(5.1%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
85(73.9%)
0(0.0%)
22(19.1%)
1(0.9%)
4(3.5%)
3(2.6%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
888(81.8%)
0(0.0%)
122(11.2%)
12(1.1%)
16(1.5%)
28(2.6%)
19(1.8%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ss_2000 [factor] 1. Localized.1 2. In_situ.0 3. Direct_extension.2 4. Lymph_nodes_only.3 5. Extension_nodes.4 6. Distant.7 7. Unknown.9
15(93.8%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 1


All data

st_css() #IMPORTANT!
  comorbidcomplication1 <- as.factor(d[,"comorbidcomplication1"])
  levels(comorbidcomplication1) <- list(No_secondary.0="0")
    new.d <- data.frame(new.d, comorbidcomplication1)
    new.d <- apply_labels(new.d, comorbidcomplication1 = "comorbid_complication1")
    #summary(new.d$comorbidcomplication1)
temp.d <- data.frame (new.d.1, comorbidcomplication1)
summarytools::view(dfSummary(new.d$comorbidcomplication1, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication1 [labelled, factor] comorbid_complication1 1. No_secondary.0 All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication1 [factor] 1. No_secondary.0 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 2


All data

st_css() #IMPORTANT!
  comorbidcomplication2 <- as.factor(d[,"comorbidcomplication2"])
    new.d <- data.frame(new.d, comorbidcomplication2)
    new.d <- apply_labels(new.d, comorbidcomplication2 = "comorbid_complication2")
    #summary(new.d$comorbidcomplication2)
temp.d <- data.frame (new.d.1, comorbidcomplication2)
summarytools::view(dfSummary(new.d$comorbidcomplication2, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication2 [labelled, factor] comorbid_complication2 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
1(1.1%)
5(5.6%)
2(2.2%)
5(5.6%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
4(4.4%)
1(1.1%)
2(2.2%)
1(1.1%)
1(1.1%)
21(23.3%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
3(3.3%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
5(5.6%)
1(1.1%)
1(1.1%)
2(2.2%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
1(1.1%)
2(2.2%)
2(2.2%)
2077 (95.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
0(0.0%)
1(5.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(29.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.9%)
1(5.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.9%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.9%)
1(5.9%)
1(5.9%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.9%)
0(0.0%)
1(5.9%)
2(11.8%)
1(5.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
157 (90.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
1(1.5%)
4(5.9%)
2(2.9%)
5(7.4%)
1(1.5%)
1(1.5%)
1(1.5%)
1(1.5%)
1(1.5%)
4(5.9%)
1(1.5%)
2(2.9%)
1(1.5%)
1(1.5%)
14(20.6%)
0(0.0%)
1(1.5%)
1(1.5%)
1(1.5%)
2(2.9%)
0(0.0%)
1(1.5%)
1(1.5%)
1(1.5%)
1(1.5%)
0(0.0%)
0(0.0%)
1(1.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.5%)
1(1.5%)
1(1.5%)
4(5.9%)
1(1.5%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.5%)
1(1.5%)
1(1.5%)
1(1.5%)
1(1.5%)
1(1.5%)
2(2.9%)
2(2.9%)
222 (76.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication2 [factor] 1. 13644 2. 25000 3. 27200 4. 27240 5. 27400 6. 27490 7. 27800 8. 27801 9. 28590 10. 30510 11. 35180 12. 36590 13. 40100 14. 40110 15. 40190 16. 40493 17. 42400 18. 44422 19. 47790 20. 53081 21. 55090 22. 56010 23. 56410 24. 56800 25. 57150 26. 57390 27. 5780 
·
28. 57810 29. 5849 
·
30. 59410 31. 5989 
·
32. 59900 33. 60000 34. 60001 35. 60290 36. 60784 37. 64800 38. 69010 39. 71690 40. 7213 
·
41. 72660 42. 72950 43. 72981 44. 78020 45. 78863 46. 78900 47. 79093 48. 99990
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(40.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
11 (68.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 3


All data

st_css() #IMPORTANT!
  comorbidcomplication3 <- as.factor(d[,"comorbidcomplication3"])
    new.d <- data.frame(new.d, comorbidcomplication3)
    new.d <- apply_labels(new.d, comorbidcomplication3 = "comorbid_complication3")
    #summary(new.d$comorbidcomplication3)
temp.d <- data.frame (new.d.1, comorbidcomplication3)
summarytools::view(dfSummary(new.d$comorbidcomplication3, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication3 [labelled, factor] comorbid_complication3 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
1(1.7%)
3(5.1%)
1(1.7%)
3(5.1%)
1(1.7%)
1(1.7%)
1(1.7%)
2(3.4%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
3(5.1%)
2(3.4%)
1(1.7%)
2(3.4%)
2(3.4%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
2(3.4%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
1(1.7%)
2(3.4%)
2(3.4%)
1(1.7%)
2(3.4%)
1(1.7%)
2108 (97.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
0(0.0%)
2(15.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.7%)
0(0.0%)
0(0.0%)
1(7.7%)
1(7.7%)
0(0.0%)
0(0.0%)
1(7.7%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.7%)
1(7.7%)
0(0.0%)
0(0.0%)
1(7.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.7%)
1(7.7%)
0(0.0%)
161 (92.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
1(2.4%)
1(2.4%)
1(2.4%)
3(7.1%)
1(2.4%)
0(0.0%)
0(0.0%)
2(4.8%)
1(2.4%)
1(2.4%)
1(2.4%)
1(2.4%)
1(2.4%)
1(2.4%)
1(2.4%)
0(0.0%)
0(0.0%)
1(2.4%)
1(2.4%)
1(2.4%)
0(0.0%)
1(2.4%)
2(4.8%)
2(4.8%)
0(0.0%)
1(2.4%)
1(2.4%)
1(2.4%)
1(2.4%)
0(0.0%)
1(2.4%)
1(2.4%)
1(2.4%)
0(0.0%)
1(2.4%)
1(2.4%)
1(2.4%)
0(0.0%)
1(2.4%)
1(2.4%)
2(4.8%)
2(4.8%)
0(0.0%)
1(2.4%)
1(2.4%)
248 (85.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication3 [factor] 1. 24490 2. 25000 3. 27200 4. 27240 5. 27490 6. 2752 
·
7. 27651 8. 27800 9. 30002 10. 30500 11. 30510 12. 32723 13. 35400 14. 40190 15. 40390 16. 41040 17. 41200 18. 41400 19. 41490 20. 4186 
·
21. 42832 22. 43600 23. 49600 24. 53081 25. 58550 26. 60000 27. 60784 28. 68220 29. 69806 30. 700 
·
31. 7051 
·
32. 7070 
·
33. 71590 34. 71689 35. 71690 36. 71696 37. 72240 38. 72291 39. 72950 40. 74685 41. 78057 42. 78843 43. 79029 44. 79093 45. 99990
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
12 (75.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 4


All data

st_css() #IMPORTANT!
  comorbidcomplication4 <- as.factor(d[,"comorbidcomplication4"])
    new.d <- data.frame(new.d, comorbidcomplication4)
    new.d <- apply_labels(new.d, comorbidcomplication4 = "comorbid_complication4")
    #summary(new.d$comorbidcomplication4)
temp.d <- data.frame (new.d.1, comorbidcomplication4)
summarytools::view(dfSummary(new.d$comorbidcomplication4, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication4 [labelled, factor] comorbid_complication4 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
1(2.6%)
1(2.6%)
2(5.3%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
3(7.9%)
1(2.6%)
1(2.6%)
2(5.3%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
2(5.3%)
1(2.6%)
2(5.3%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
1(2.6%)
2129 (98.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(11.1%)
0(0.0%)
0(0.0%)
1(11.1%)
0(0.0%)
2(22.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(11.1%)
0(0.0%)
1(11.1%)
0(0.0%)
1(11.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(11.1%)
0(0.0%)
1(11.1%)
0(0.0%)
165 (94.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
1(4.0%)
0(0.0%)
2(8.0%)
1(4.0%)
0(0.0%)
1(4.0%)
1(4.0%)
0(0.0%)
1(4.0%)
1(4.0%)
1(4.0%)
1(4.0%)
2(8.0%)
1(4.0%)
0(0.0%)
1(4.0%)
0(0.0%)
1(4.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(4.0%)
2(8.0%)
1(4.0%)
2(8.0%)
1(4.0%)
1(4.0%)
0(0.0%)
0(0.0%)
1(4.0%)
0(0.0%)
1(4.0%)
265 (91.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication4 [factor] 1. 25000 2. 27240 3. 27490 4. 27610 5. 27800 6. 27802 7. 28249 8. 28860 9. 28981 10. 30510 11. 36501 12. 37862 13. 40190 14. 41491 15. 4280 
·
16. 42890 17. 53030 18. 56210 19. 58490 20. 58881 21. 5920 
·
22. 59200 23. 60000 24. 60001 25. 60784 26. 72450 27. 73100 28. 78060 29. 78062 30. 78841 31. 79093 32. 99990
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
12 (75.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 5


All data

st_css() #IMPORTANT!
  comorbidcomplication5 <- as.factor(d[,"comorbidcomplication5"])
    new.d <- data.frame(new.d, comorbidcomplication5)
    new.d <- apply_labels(new.d, comorbidcomplication5 = "comorbid_complication5")
    #summary(new.d$comorbidcomplication5)
temp.d <- data.frame (new.d.1, comorbidcomplication5)
summarytools::view(dfSummary(new.d$comorbidcomplication5, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication5 [labelled, factor] comorbid_complication5 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
4(14.3%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
1(3.6%)
2139 (98.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
169 (97.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
1(5.0%)
0(0.0%)
1(5.0%)
1(5.0%)
0(0.0%)
1(5.0%)
0(0.0%)
1(5.0%)
1(5.0%)
1(5.0%)
3(15.0%)
1(5.0%)
1(5.0%)
1(5.0%)
0(0.0%)
1(5.0%)
1(5.0%)
0(0.0%)
1(5.0%)
1(5.0%)
1(5.0%)
0(0.0%)
0(0.0%)
1(5.0%)
1(5.0%)
270 (93.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication5 [factor] 1. 13500 2. 25000 3. 27240 4. 27803 5. 29600 6. 29630 7. 30510 8. 35400 9. 36800 10. 37515 11. 40190 12. 43820 13. 45340 14. 59100 15. 5932 
·
16. 59971 17. 60784 18. 70000 19. 7032 
·
20. 78060 21. 78590 22. 78701 23. 78820 24. 78862 25. 99990
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
13 (81.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 6


All data

st_css() #IMPORTANT!
  comorbidcomplication6 <- as.factor(d[,"comorbidcomplication6"])
    new.d <- data.frame(new.d, comorbidcomplication6)
    new.d <- apply_labels(new.d, comorbidcomplication6 = "comorbid_complication6")
    #summary(new.d$comorbidcomplication6)
temp.d <- data.frame (new.d.1, comorbidcomplication6)
summarytools::view(dfSummary(new.d$comorbidcomplication6, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication6 [labelled, factor] comorbid_complication6 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
2(9.5%)
1(4.8%)
1(4.8%)
1(4.8%)
2(9.5%)
1(4.8%)
1(4.8%)
1(4.8%)
1(4.8%)
1(4.8%)
1(4.8%)
2(9.5%)
1(4.8%)
1(4.8%)
1(4.8%)
1(4.8%)
1(4.8%)
1(4.8%)
2146 (99.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
172 (98.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
2(12.5%)
0(0.0%)
1(6.2%)
1(6.2%)
2(12.5%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
0(0.0%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
274 (94.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication6 [factor] 1. 27240 2. 30401 3. 35180 4. 40190 5. 41400 6. 41519 7. 43812 8. 4720 
·
9. 5739 
·
10. 59390 11. 60010 12. 60784 13. 72420 14. 73390 15. 78659 16. 78865 17. 79029 18. 79093
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
13 (81.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 7


All data

st_css() #IMPORTANT!
  comorbidcomplication7 <- as.factor(d[,"comorbidcomplication7"])
    new.d <- data.frame(new.d, comorbidcomplication7)
    new.d <- apply_labels(new.d, comorbidcomplication7 = "comorbid_complication7")
    #summary(new.d$comorbidcomplication7)
temp.d <- data.frame (new.d.1, comorbidcomplication7)
summarytools::view(dfSummary(new.d$comorbidcomplication7, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication7 [labelled, factor] comorbid_complication7 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
1(5.9%)
2150 (99.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
172 (98.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
0(0.0%)
1(8.3%)
1(8.3%)
0(0.0%)
1(8.3%)
0(0.0%)
0(0.0%)
1(8.3%)
1(8.3%)
0(0.0%)
278 (95.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication7 [factor] 1. 25000 2. 26890 3. 27220 4. 27240 5. 27490 6. 27800 7. 30275 8. 32723 9. 41200 10. 58590 11. 72420 12. 78052 13. 78194 14. 78841 15. 79093 16. 81600 17. 9989 
·
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
13 (81.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 8


All data

st_css() #IMPORTANT!
  comorbidcomplication8 <- as.factor(d[,"comorbidcomplication8"])
    new.d <- data.frame(new.d, comorbidcomplication8)
    new.d <- apply_labels(new.d, comorbidcomplication8 = "comorbid_complication8")
    #summary(new.d$comorbidcomplication8)
temp.d <- data.frame (new.d.1, comorbidcomplication8)
summarytools::view(dfSummary(new.d$comorbidcomplication8, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication8 [labelled, factor] comorbid_complication8 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981
1(7.7%)
1(7.7%)
1(7.7%)
2(15.4%)
1(7.7%)
1(7.7%)
1(7.7%)
1(7.7%)
1(7.7%)
1(7.7%)
1(7.7%)
1(7.7%)
2154 (99.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
172 (98.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981
1(12.5%)
1(12.5%)
0(0.0%)
1(12.5%)
0(0.0%)
0(0.0%)
1(12.5%)
1(12.5%)
1(12.5%)
1(12.5%)
0(0.0%)
1(12.5%)
282 (97.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication8 [factor] 1. 25000 2. 26890 3. 28521 4. 33829 5. 41401 6. 53550 7. 56010 8. 56400 9. 71941 10. 75310 11. 78863 12. 79981
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
1(33.3%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
13 (81.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 9


All data

st_css() #IMPORTANT!
  comorbidcomplication9 <- as.factor(d[,"comorbidcomplication9"])
    new.d <- data.frame(new.d, comorbidcomplication9)
    new.d <- apply_labels(new.d, comorbidcomplication9 = "comorbid_complication9")
    #summary(new.d$comorbidcomplication9)
temp.d <- data.frame (new.d.1, comorbidcomplication9)
summarytools::view(dfSummary(new.d$comorbidcomplication9, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication9 [labelled, factor] comorbid_complication9 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
2160 (99.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
1(25.0%)
1(25.0%)
1(25.0%)
286 (98.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication9 [factor] 1. 32723 2. 41401 3. 60000 4. 71695 5. 72910 6. 73300 7. 78052
1(33.3%)
1(33.3%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
13 (81.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


COMORBID/COMPLICATION 10


All data

st_css() #IMPORTANT!
  comorbidcomplication10 <- as.factor(d[,"comorbidcomplication10"])
    new.d <- data.frame(new.d, comorbidcomplication10)
    new.d <- apply_labels(new.d, comorbidcomplication10 = "comorbid_complication10")
    #summary(new.d$comorbidcomplication10)
temp.d <- data.frame (new.d.1, comorbidcomplication10)
summarytools::view(dfSummary(new.d$comorbidcomplication10, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 comorbidcomplication10 [labelled, factor] comorbid_complication10 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
1(20.0%)
1(20.0%)
1(20.0%)
1(20.0%)
1(20.0%)
2162 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
1(25.0%)
1(25.0%)
0(0.0%)
1(25.0%)
1(25.0%)
286 (98.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 comorbid_complication10 [factor] 1. 25720 2. 33381 3. 4019 
·
4. 53560 5. 78841
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
15 (93.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


ICD REVISION COMORBID


All data

st_css() #IMPORTANT!
  icdrevisioncomorbid <- as.factor(d[,"icdrevisioncomorbid"])
  levels(icdrevisioncomorbid) <- list(No_in_record.0="0",
                                        ICD_10_CM.1 = "1", 
                                         ICD_9_CM.9 = "9"
                                        )
    new.d <- data.frame(new.d, icdrevisioncomorbid)
    new.d <- apply_labels(new.d, icdrevisioncomorbid = "icd_revision_comorbid")
    #summary(new.d$icdrevisioncomorbid)
temp.d <- data.frame (new.d.1, icdrevisioncomorbid)
summarytools::view(dfSummary(new.d$icdrevisioncomorbid, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 icdrevisioncomorbid [labelled, factor] icd_revision_comorbid 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9
97(35.9%)
142(52.6%)
31(11.5%)
1897 (87.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9
86(51.2%)
55(32.7%)
27(16.1%)
6 (3.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9
0(0.0%)
87(100.0%)
0(0.0%)
203 (70.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 icd_revision_comorbid [factor] 1. No_in_record.0 2. ICD_10_CM.1 3. ICD_9_CM.9
11(73.3%)
0(0.0%)
4(26.7%)
1 (6.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE MST DEFN SRG

Formerly RX Date–Most Defin Surg.


All data

st_css() #IMPORTANT!
  rxdatemostdefinsurg <- as.factor(d[,"rxdatemostdefinsurg"])
 
    new.d <- data.frame(new.d, rxdatemostdefinsurg)
    new.d <- apply_labels(new.d, rxdatemostdefinsurg = "rx_date_most_defin_surg")
    #summary(new.d$rxdatemostdefinsurg)
temp.d <- data.frame (new.d.1, rxdatemostdefinsurg)
summarytools::view(dfSummary(new.d$rxdatemostdefinsurg, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatemostdefinsurg [labelled, factor] rx_date_most_defin_surg 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
1(0.1%)
1(0.1%)
2(0.2%)
1(0.1%)
5(0.5%)
1(0.1%)
1(0.1%)
1(0.1%)
2(0.2%)
3(0.3%)
7(0.7%)
2(0.2%)
1(0.1%)
2(0.2%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
2(0.2%)
5(0.5%)
2(0.2%)
6(0.6%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
3(0.3%)
1(0.1%)
1(0.1%)
2(0.2%)
2(0.2%)
11(1.1%)
2(0.2%)
3(0.3%)
1(0.1%)
1(0.1%)
1(0.1%)
911(89.9%)
1154 (53.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
5(4.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
91(86.7%)
84 (44.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
45(93.8%)
126 (72.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(2.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(1.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
6(4.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
128(88.9%)
93 (39.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(3.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(2.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
78(91.8%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
2(1.1%)
1(0.6%)
0(0.0%)
3(1.7%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
2(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
0(0.0%)
159(87.8%)
109 (37.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
2(0.5%)
0(0.0%)
0(0.0%)
2(0.5%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
1(0.2%)
2(0.5%)
1(0.2%)
1(0.2%)
1(0.2%)
3(0.7%)
0(0.0%)
0(0.0%)
1(0.2%)
0(0.0%)
2(0.5%)
1(0.2%)
0(0.0%)
3(0.7%)
1(0.2%)
0(0.0%)
1(0.2%)
0(0.0%)
0(0.0%)
2(0.5%)
2(0.5%)
1(0.2%)
1(0.2%)
1(0.2%)
410(92.6%)
644 (59.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_most_defin_surg [factor] 1. 20120699 2. 20120999 3. 20130399 4. 20131199 5. 20140299 6. 20140599 7. 20141199 8. 201501 
·
9. 201502 
·
10. 20150212 11. 20150219 12. 20150223 13. 20150226 14. 201503 
·
15. 20150310 16. 20150316 17. 20150317 18. 20150326 19. 20150399 20. 201504 
·
21. 20150401 22. 20150402 23. 20150406 24. 20150407 25. 20150413 26. 20150414 27. 20150415 28. 20150416 29. 20150421 30. 20150423 31. 20150427 32. 20150428 33. 20150499 34. 201505 
·
35. 20150501 36. 20150504 37. 20150506 38. 20150507 39. 20150511 40. 20150514 41. 20150521 42. 20150527 43. 20150528 44. 20150599 45. 201506 
·
46. 20150603 47. 20150605 48. 20150610 49. 20150611 50. 20150612 [ 411 others ]
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
9 (56.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RAD–BOOST RX MODALITY


All data

st_css() #IMPORTANT!
  radboostrxmodality <- as.factor(d[,"radboostrxmodality"])
  levels(radboostrxmodality) <- list(No_boost_tx.0="0",
                                     External_beam_NOS.20="20",
                                     Photons_6_10_MV.24="24", 
                                     Photons_11_19_MV.25="25",
                                     Photons_mixed.27="27",
                                     Electrons.28 = "28",
                                     IMRT.31 = "31",
                                     Conformal_or_3D.32="32",
                                     Protons.40="40",
                                     Brachytherapy_NOS.50="50",
                                     Brachy_Intracavitary_LDR.51="51",
                                     Brachy_Intracavitary_HDR.52="52",
                                     Brachy_Interstitial_LDR.53="53",
                                     Brachy_Interstitial_HDR.54="54",
                                     Unknown.99 = "99"
                                        )
    new.d <- data.frame(new.d, radboostrxmodality)
    new.d <- apply_labels(new.d, radboostrxmodality = "rad_boost_rx_modality")
    #summary(new.d$radboostrxmodality)
temp.d <- data.frame (new.d.1, radboostrxmodality)
summarytools::view(dfSummary(new.d$radboostrxmodality, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 radboostrxmodality [labelled, factor] rad_boost_rx_modality 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR. 12. Brachy_Intracavitary_HDR. 13. Brachy_Interstitial_LDR.5 14. Brachy_Interstitial_HDR.5 15. Unknown.99
0(0.0%)
14(4.6%)
23(7.5%)
1(0.3%)
1(0.3%)
1(0.3%)
126(41.0%)
2(0.7%)
2(0.7%)
10(3.3%)
3(1.0%)
2(0.7%)
95(30.9%)
14(4.6%)
13(4.2%)
1860 (85.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR.51 12. Brachy_Intracavitary_HDR.52 13. Brachy_Interstitial_LDR.53 14. Brachy_Interstitial_HDR.54 15. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR.51 12. Brachy_Intracavitary_HDR.52 13. Brachy_Interstitial_LDR.53 14. Brachy_Interstitial_HDR.54 15. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR.51 12. Brachy_Intracavitary_HDR.52 13. Brachy_Interstitial_LDR.53 14. Brachy_Interstitial_HDR.54 15. Unknown.99 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR.51 12. Brachy_Intracavitary_HDR.52 13. Brachy_Interstitial_LDR.53 14. Brachy_Interstitial_HDR.54 15. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR. 12. Brachy_Intracavitary_HDR. 13. Brachy_Interstitial_LDR.5 14. Brachy_Interstitial_HDR.5 15. Unknown.99
0(0.0%)
7(11.5%)
5(8.2%)
1(1.6%)
0(0.0%)
0(0.0%)
33(54.1%)
0(0.0%)
2(3.3%)
3(4.9%)
0(0.0%)
0(0.0%)
1(1.6%)
1(1.6%)
8(13.1%)
229 (79.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR. 12. Brachy_Intracavitary_HDR. 13. Brachy_Interstitial_LDR.5 14. Brachy_Interstitial_HDR.5 15. Unknown.99
0(0.0%)
7(2.8%)
18(7.3%)
0(0.0%)
1(0.4%)
1(0.4%)
93(37.8%)
2(0.8%)
0(0.0%)
7(2.8%)
3(1.2%)
2(0.8%)
94(38.2%)
13(5.3%)
5(2.0%)
841 (77.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_boost_tx.0 2. External_beam_NOS.20 3. Photons_6_10_MV.24 4. Photons_11_19_MV.25 5. Photons_mixed.27 6. Electrons.28 7. IMRT.31 8. Conformal_or_3D.32 9. Protons.40 10. Brachytherapy_NOS.50 11. Brachy_Intracavitary_LDR.51 12. Brachy_Intracavitary_HDR.52 13. Brachy_Interstitial_LDR.53 14. Brachy_Interstitial_HDR.54 15. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RAD–BOOST DOSE CGY


All data

st_css() #IMPORTANT!
  radboostdosecgy <- as.factor(d[,"radboostdosecgy"])
  
    new.d <- data.frame(new.d, radboostdosecgy)
    new.d <- apply_labels(new.d, radboostdosecgy = "rad_boost_dose_cgy")
    #summary(new.d$radboostdosecgy)
temp.d <- data.frame (new.d.1, radboostdosecgy)
summarytools::view(dfSummary(new.d$radboostdosecgy, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 radboostdosecgy [labelled, factor] rad_boost_dose_cgy No levels defined All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX DATE SYSTEMIC

Formerly RX Date–Systemic.


All data

st_css() #IMPORTANT!
  rxdatesystemic <- as.factor(d[,"rxdatesystemic"])
 
    new.d <- data.frame(new.d, rxdatesystemic)
    new.d <- apply_labels(new.d, rxdatesystemic = "rx_date_systemic")
    #summary(new.d$rxdatesystemic)
temp.d <- data.frame (new.d.1, rxdatesystemic)
summarytools::view(dfSummary(new.d$rxdatesystemic, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxdatesystemic [labelled, factor] rx_date_systemic 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
5(1.1%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
6(1.3%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
1(0.2%)
2(0.4%)
1(0.2%)
1(0.2%)
1(0.2%)
406(85.8%)
1694 (78.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
0(0.0%)
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
32(86.5%)
152 (80.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
42(91.3%)
128 (73.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(6.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
38(84.4%)
192 (81.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.3%)
39(90.7%)
131 (75.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
1(1.3%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
1(1.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.3%)
0(0.0%)
1(1.3%)
1(1.3%)
0(0.0%)
1(1.3%)
1(1.3%)
0(0.0%)
0(0.0%)
62(80.5%)
213 (73.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
2(0.9%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
2(0.9%)
1(0.4%)
2(0.9%)
1(0.4%)
1(0.4%)
1(0.4%)
1(0.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(0.4%)
0(0.0%)
1(0.4%)
0(0.0%)
193(86.2%)
863 (79.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rx_date_systemic [factor] 1. 20130499 2. 2015 
·
3. 201501 
·
4. 20150116 5. 20150126 6. 201502 
·
7. 20150210 8. 20150211 9. 20150217 10. 201503 
·
11. 20150306 12. 20150326 13. 20150399 14. 201504 
·
15. 20150401 16. 20150410 17. 20150415 18. 20150428 19. 20150499 20. 201505 
·
21. 20150504 22. 20150505 23. 20150507 24. 20150509 25. 20150514 26. 20150515 27. 20150519 28. 20150521 29. 20150526 30. 20150528 31. 201506 
·
32. 20150601 33. 20150602 34. 20150604 35. 20150608 36. 20150611 37. 20150612 38. 20150615 39. 20150616 40. 20150618 41. 20150619 42. 20150623 43. 20150625 44. 20150626 45. 20150627 46. 20150699 47. 20150702 48. 20150709 49. 20150727 50. 20150799 [ 237 others ]
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
15 (93.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


RX SUMM–TRANSPLNT/ENDOCR


All data

st_css() #IMPORTANT!
  rxsummtransplntendocr <- as.factor(d[,"rxsummtransplntendocr"])
  levels(rxsummtransplntendocr) <- list(No_administered.0="0",
                                     Endo_surg_RT.30 = "30",
                                     Recomm_no_admin.86="86",
                                     Unknown.99 = "99"
                                        )
    new.d <- data.frame(new.d, rxsummtransplntendocr)
    new.d <- apply_labels(new.d, rxsummtransplntendocr = "rx_summ_transplnt_endocr")
    #summary(new.d$rxsummtransplntendocr)
temp.d <- data.frame (new.d.1, rxsummtransplntendocr)
summarytools::view(dfSummary(new.d$rxsummtransplntendocr, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 rxsummtransplntendocr [labelled, factor] rx_summ_transplnt_endocr 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99
0(0.0%)
4(25.0%)
1(6.2%)
11(68.8%)
2151 (99.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
236 (99.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99
0(0.0%)
0(0.0%)
0(0.0%)
11(100.0%)
279 (96.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99
0(0.0%)
3(75.0%)
1(25.0%)
0(0.0%)
1083 (99.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 rad_boost_rx_modality [factor] 1. No_administered.0 2. Endo_surg_RT.30 3. Recomm_no_admin.86 4. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-7 T


All data

st_css() #IMPORTANT!
  derivedajcc7t <- as.factor(d[,"derivedajcc7t"])
  
    new.d <- data.frame(new.d, derivedajcc7t)
    new.d <- apply_labels(new.d, derivedajcc7t = "derived_ajcc_7t")
    #summary(new.d$derivedajcc7t)
temp.d <- data.frame (new.d.1, derivedajcc7t)
summarytools::view(dfSummary(new.d$derivedajcc7t, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc7t [labelled, factor] derived_ajcc_7t 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
5(0.3%)
7(0.4%)
608(38.3%)
2(0.1%)
64(4.0%)
25(1.6%)
440(27.7%)
199(12.5%)
111(7.0%)
88(5.5%)
10(0.6%)
10(0.6%)
20(1.3%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
0(0.0%)
0(0.0%)
20(22.2%)
0(0.0%)
5(5.6%)
5(5.6%)
38(42.2%)
1(1.1%)
13(14.4%)
7(7.8%)
0(0.0%)
1(1.1%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
0(0.0%)
1(1.2%)
45(52.9%)
1(1.2%)
8(9.4%)
3(3.5%)
11(12.9%)
7(8.2%)
7(8.2%)
1(1.2%)
1(1.2%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
2(1.4%)
1(0.7%)
48(34.5%)
0(0.0%)
7(5.0%)
2(1.4%)
47(33.8%)
8(5.8%)
12(8.6%)
10(7.2%)
1(0.7%)
0(0.0%)
1(0.7%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
0(0.0%)
0(0.0%)
10(16.9%)
0(0.0%)
2(3.4%)
1(1.7%)
28(47.5%)
6(10.2%)
6(10.2%)
4(6.8%)
1(1.7%)
1(1.7%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
1(0.9%)
1(0.9%)
27(23.5%)
0(0.0%)
7(6.1%)
2(1.7%)
46(40.0%)
12(10.4%)
11(9.6%)
7(6.1%)
0(0.0%)
1(0.9%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
2(0.2%)
4(0.4%)
453(41.8%)
1(0.1%)
35(3.2%)
12(1.1%)
265(24.4%)
160(14.7%)
61(5.6%)
59(5.4%)
7(0.6%)
7(0.6%)
19(1.8%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7t [factor] 1. 120 2. 150 3. 180 4. 199 5. 210 6. 220 7. 230 8. 299 9. 310 10. 320 11. 399 12. 400 13. 999
0(0.0%)
0(0.0%)
5(31.2%)
0(0.0%)
0(0.0%)
0(0.0%)
5(31.2%)
5(31.2%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-7 N


All data

st_css() #IMPORTANT!
  derivedajcc7n <- as.factor(d[,"derivedajcc7n"])
  
    new.d <- data.frame(new.d, derivedajcc7n)
    new.d <- apply_labels(new.d, derivedajcc7n = "derived_ajcc_7n")
    #summary(new.d$derivedajcc7n)
temp.d <- data.frame (new.d.1, derivedajcc7n)
summarytools::view(dfSummary(new.d$derivedajcc7n, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc7n [labelled, factor] derived_ajcc_7n 1. 0 
·
2. 100 3. 999
1496(94.1%)
65(4.1%)
28(1.8%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
83(92.2%)
7(7.8%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
83(97.6%)
2(2.4%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
125(89.9%)
11(7.9%)
3(2.2%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
57(96.6%)
2(3.4%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
109(94.8%)
5(4.3%)
1(0.9%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
1023(94.3%)
38(3.5%)
24(2.2%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7n [factor] 1. 0 
·
2. 100 3. 999
16(100.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-7 M


All data

st_css() #IMPORTANT!
  derivedajcc7m <- as.factor(d[,"derivedajcc7m"])
  
    new.d <- data.frame(new.d, derivedajcc7m)
    new.d <- apply_labels(new.d, derivedajcc7m = "derived_ajcc_7m")
    #summary(new.d$derivedajcc7m)
temp.d <- data.frame (new.d.1, derivedajcc7m)
summarytools::view(dfSummary(new.d$derivedajcc7m, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc7m [labelled, factor] derived_ajcc_7m 1. 0 
·
2. 110 3. 120 4. 130 5. 199
1550(97.5%)
7(0.4%)
30(1.9%)
1(0.1%)
1(0.1%)
578 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
88(97.8%)
1(1.1%)
1(1.1%)
0(0.0%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
83(97.6%)
1(1.2%)
1(1.2%)
0(0.0%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
136(97.8%)
0(0.0%)
3(2.2%)
0(0.0%)
0(0.0%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
56(94.9%)
0(0.0%)
3(5.1%)
0(0.0%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
113(98.3%)
0(0.0%)
2(1.7%)
0(0.0%)
0(0.0%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
1058(97.5%)
5(0.5%)
20(1.8%)
1(0.1%)
1(0.1%)
2 (0.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7m [factor] 1. 0 
·
2. 110 3. 120 4. 130 5. 199
16(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED AJCC-7 STAGE GRP


All data

st_css() #IMPORTANT!
  derivedajcc7stagegrp <- as.factor(d[,"derivedajcc7stagegrp"])
  
    new.d <- data.frame(new.d, derivedajcc7stagegrp)
    new.d <- apply_labels(new.d, derivedajcc7stagegrp = "derived_ajcc_7_stage_grp")
    #summary(new.d$derivedajcc7stagegrp)
temp.d <- data.frame (new.d.1, derivedajcc7stagegrp)
summarytools::view(dfSummary(new.d$derivedajcc7stagegrp, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedajcc7stagegrp [labelled, factor] derived_ajcc_7_stage_grp 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
196(12.3%)
411(25.9%)
678(42.7%)
171(10.8%)
96(6.0%)
36(2.3%)
579 (26.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
2(2.2%)
22(24.4%)
43(47.8%)
16(17.8%)
7(7.8%)
0(0.0%)
99 (52.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
29(34.1%)
23(27.1%)
22(25.9%)
8(9.4%)
3(3.5%)
0(0.0%)
89 (51.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
23(16.5%)
20(14.4%)
65(46.8%)
16(11.5%)
13(9.4%)
2(1.4%)
98 (41.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
2(3.4%)
9(15.3%)
34(57.6%)
9(15.3%)
5(8.5%)
0(0.0%)
115 (66.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
3(2.6%)
12(10.4%)
76(66.1%)
15(13.0%)
8(7.0%)
1(0.9%)
175 (60.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
132(12.2%)
321(29.6%)
432(39.9%)
106(9.8%)
60(5.5%)
33(3.0%)
3 (0.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_ajcc_7_stage_grp [factor] 1. 100 2. 320 3. 330 4. 500 5. 700 6. 999
5(31.2%)
4(25.0%)
6(37.5%)
1(6.2%)
0(0.0%)
0(0.0%)
0 (0.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SEER PATH STG GRP


All data

st_css() #IMPORTANT!
  derivedseerpathstggrp <- as.factor(d[,"derivedseerpathstggrp"])
  levels(derivedseerpathstggrp) <- list(Stage_I.1="1",
                        Stage_IIA.2A="2A",
                        Stage_IIB.2B="2B",
                        Stage_III.3="3",
                        Stage_IV.4="4",
                        Unknown.99="99")
    new.d <- data.frame(new.d, derivedseerpathstggrp)
    new.d <- apply_labels(new.d, derivedseerpathstggrp = "derived_seer_path_stg_grp")
    #summary(new.d$derivedseerpathstggrp)
temp.d <- data.frame (new.d.1, derivedseerpathstggrp)
summarytools::view(dfSummary(new.d$derivedseerpathstggrp, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedseerpathstggrp [labelled, factor] derived_seer_path_stg_grp 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_path_stg_grp [factor] 1. Stage_I.1 2. Stage_IIA.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SEER PATH STG GRP


All data

st_css() #IMPORTANT!
  derivedseerclinstggrp <- as.factor(d[,"derivedseerclinstggrp"])
  levels(derivedseerclinstggrp) <- list(Stage_I.1="1",
                        Stage_2A.2A="2A",
                        Stage_2B.2B="2B",
                        Stage_3.3="3",
                        Stage_4.4="4",
                        Unknown.99="99")
    new.d <- data.frame(new.d, derivedseerclinstggrp)
    new.d <- apply_labels(new.d, derivedseerclinstggrp = "derived_seer_clin_stg_grp")
    #summary(new.d$derivedseerclinstggrp)
temp.d <- data.frame (new.d.1, derivedseerclinstggrp)
summarytools::view(dfSummary(new.d$derivedseerclinstggrp, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedseerclinstggrp [labelled, factor] derived_seer_clin_stg_grp 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 2167 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_clin_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_2B.2B 4. Stage_3.3 5. Stage_4.4 6. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SEER CMB STG GRP



All data

st_css() #IMPORTANT!
  derivedseercmbstggrp <- as.factor(trimws(d[,"derivedseercmbstggrp"]))
  # THIS CODING NEEDS TO BE CONFIRMED
  levels(derivedseercmbstggrp) <- list(Stage_I.1="1",
                                            Stage_2A.2A="2A",
                                          Stage_IIB.2B="2B",
                                          Stage_III.3="3",
                                          Stage_IV.4="4",
                                          Not_applicable.88="88",
                                          Unknown.99="99")
    new.d <- data.frame(new.d, derivedseercmbstggrp)
    new.d <- apply_labels(new.d, derivedseercmbstggrp = "Stage group based on their T, N, and M")
    #summary(new.d$derivedseercmbstggrp)
temp.d <- data.frame (new.d.1, derivedseercmbstggrp)
summarytools::view(dfSummary(new.d$derivedseercmbstggrp, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedseercmbstggrp [labelled, factor] Stage group based on their T, N, and M 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99
107(21.2%)
65(12.9%)
96(19.0%)
110(21.8%)
66(13.1%)
0(0.0%)
61(12.1%)
1662 (76.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99
14(35.9%)
0(0.0%)
0(0.0%)
11(28.2%)
6(15.4%)
0(0.0%)
8(20.5%)
150 (79.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99
15(16.9%)
33(37.1%)
19(21.3%)
13(14.6%)
7(7.9%)
0(0.0%)
2(2.2%)
85 (48.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99
4(4.1%)
9(9.2%)
51(52.0%)
17(17.3%)
13(13.3%)
0(0.0%)
4(4.1%)
139 (58.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99
10(12.0%)
23(27.7%)
26(31.3%)
12(14.5%)
9(10.8%)
0(0.0%)
3(3.6%)
91 (52.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99
64(32.7%)
0(0.0%)
0(0.0%)
57(29.1%)
31(15.8%)
0(0.0%)
44(22.4%)
891 (82.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_cmb_stg_grp [factor] 1. Stage_I.1 2. Stage_2A.2A 3. Stage_IIB.2B 4. Stage_III.3 5. Stage_IV.4 6. Not_applicable.88 7. Unknown.99 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SEER COMBINED T


All data

st_css() #IMPORTANT!
  derivedseercombinedt <- as.factor(d[,"derivedseercombinedt"])
  
    new.d <- data.frame(new.d, derivedseercombinedt)
    new.d <- apply_labels(new.d, derivedseercombinedt = "derived_seer_combined_t")
    #summary(new.d$derivedseercombinedt)
temp.d <- data.frame (new.d.1, derivedseercombinedt)
summarytools::view(dfSummary(new.d$derivedseercombinedt, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedseercombinedt [labelled, factor] derived_seer_combined_t 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
9(1.0%)
2(0.2%)
403(44.8%)
17(1.9%)
26(2.9%)
16(1.8%)
34(3.8%)
1(0.1%)
9(1.0%)
8(0.9%)
1(0.1%)
9(1.0%)
16(1.8%)
15(1.7%)
4(0.4%)
211(23.4%)
1(0.1%)
69(7.7%)
48(5.3%)
1(0.1%)
1267 (58.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
0(0.0%)
1(1.0%)
40(41.7%)
1(1.0%)
2(2.1%)
2(2.1%)
6(6.2%)
0(0.0%)
0(0.0%)
3(3.1%)
0(0.0%)
3(3.1%)
1(1.0%)
2(2.1%)
0(0.0%)
24(25.0%)
0(0.0%)
6(6.2%)
5(5.2%)
0(0.0%)
93 (49.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
0(0.0%)
0(0.0%)
44(51.2%)
0(0.0%)
9(10.5%)
1(1.2%)
6(7.0%)
0(0.0%)
1(1.2%)
0(0.0%)
1(1.2%)
1(1.2%)
0(0.0%)
3(3.5%)
0(0.0%)
7(8.1%)
0(0.0%)
10(11.6%)
3(3.5%)
0(0.0%)
88 (50.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
0(0.0%)
0(0.0%)
17(17.7%)
4(4.2%)
3(3.1%)
1(1.0%)
6(6.2%)
0(0.0%)
1(1.0%)
1(1.0%)
0(0.0%)
1(1.0%)
0(0.0%)
1(1.0%)
0(0.0%)
42(43.8%)
1(1.0%)
14(14.6%)
4(4.2%)
0(0.0%)
141 (59.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
1(1.2%)
0(0.0%)
33(39.8%)
5(6.0%)
2(2.4%)
2(2.4%)
2(2.4%)
0(0.0%)
1(1.2%)
0(0.0%)
0(0.0%)
2(2.4%)
2(2.4%)
1(1.2%)
0(0.0%)
15(18.1%)
0(0.0%)
9(10.8%)
8(9.6%)
0(0.0%)
91 (52.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
8(1.5%)
1(0.2%)
269(49.9%)
7(1.3%)
10(1.9%)
10(1.9%)
14(2.6%)
1(0.2%)
6(1.1%)
4(0.7%)
0(0.0%)
2(0.4%)
13(2.4%)
8(1.5%)
4(0.7%)
123(22.8%)
0(0.0%)
30(5.6%)
28(5.2%)
1(0.2%)
548 (50.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_t [factor] 1. c1 
·
2. c1A 
·
3. c1C 
·
4. c2 
·
5. c2A 
·
6. c2B 
·
7. c2C 
·
8. c3 
·
9. c3A 
·
10. c3B 
·
11. c4 
·
12. cX 
·
13. p2 
·
14. p2A 
·
15. p2B 
·
16. p2C 
·
17. p3 
·
18. p3A 
·
19. p3B 
·
20. p4 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SEER COMBINED N


All data

st_css() #IMPORTANT!
  derivedseercombinedn <- as.factor(d[,"derivedseercombinedn"])
  
    new.d <- data.frame(new.d, derivedseercombinedn)
    new.d <- apply_labels(new.d, derivedseercombinedn = "derived_seer_combined_n")
    #summary(new.d$derivedseercombinedn)
temp.d <- data.frame (new.d.1, derivedseercombinedn)
summarytools::view(dfSummary(new.d$derivedseercombinedn, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedseercombinedn [labelled, factor] derived_seer_combined_n 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
608(67.6%)
22(2.4%)
22(2.4%)
219(24.3%)
27(3.0%)
2(0.2%)
1267 (58.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
70(72.9%)
0(0.0%)
3(3.1%)
19(19.8%)
3(3.1%)
1(1.0%)
93 (49.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
61(70.9%)
5(5.8%)
1(1.2%)
18(20.9%)
1(1.2%)
0(0.0%)
88 (50.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
34(35.4%)
9(9.4%)
2(2.1%)
48(50.0%)
3(3.1%)
0(0.0%)
141 (59.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
51(61.4%)
1(1.2%)
2(2.4%)
23(27.7%)
6(7.2%)
0(0.0%)
91 (52.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
392(72.7%)
7(1.3%)
14(2.6%)
111(20.6%)
14(2.6%)
1(0.2%)
548 (50.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_n [factor] 1. c0 
·
2. c1 
·
3. cX 
·
4. p0 
·
5. p1 
·
6. pX 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


DERIVED SEER COMBINED M


All data

st_css() #IMPORTANT!
  derivedseercombinedm <- as.factor(d[,"derivedseercombinedm"])
  
    new.d <- data.frame(new.d, derivedseercombinedm)
    new.d <- apply_labels(new.d, derivedseercombinedm = "derived_seer_combined_m")
    #summary(new.d$derivedseercombinedm)
temp.d <- data.frame (new.d.1, derivedseercombinedm)
summarytools::view(dfSummary(new.d$derivedseercombinedm, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 derivedseercombinedm [labelled, factor] derived_seer_combined_m 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
867(96.3%)
4(0.4%)
3(0.3%)
20(2.2%)
3(0.3%)
2(0.2%)
1(0.1%)
1267 (58.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
93(96.9%)
0(0.0%)
0(0.0%)
2(2.1%)
0(0.0%)
1(1.0%)
0(0.0%)
93 (49.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
82(95.3%)
0(0.0%)
0(0.0%)
3(3.5%)
1(1.2%)
0(0.0%)
0(0.0%)
88 (50.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
89(92.7%)
1(1.0%)
1(1.0%)
2(2.1%)
2(2.1%)
0(0.0%)
1(1.0%)
141 (59.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
80(96.4%)
0(0.0%)
0(0.0%)
3(3.6%)
0(0.0%)
0(0.0%)
0(0.0%)
91 (52.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
523(97.0%)
3(0.6%)
2(0.4%)
10(1.9%)
0(0.0%)
1(0.2%)
0(0.0%)
548 (50.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 derived_seer_combined_m [factor] 1. c0 
·
2. c1 
·
3. c1A 
·
4. c1B 
·
5. c1C 
·
6. p1A 
·
7. p1C 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 1


All data

st_css() #IMPORTANT!
  secondarydiagnosis1 <- as.factor(d[,"secondarydiagnosis1"])
  
    new.d <- data.frame(new.d, secondarydiagnosis1)
    new.d <- apply_labels(new.d, secondarydiagnosis1 = "secondary_diagnosis_1")
    #summary(new.d$secondarydiagnosis1)
temp.d <- data.frame (new.d.1, secondarydiagnosis1)
summarytools::view(dfSummary(new.d$secondarydiagnosis1, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis1 [labelled, factor] secondary_diagnosis_1 1. 0 
·
720(100.0%)
1447 (66.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
52(100.0%)
122 (70.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
75(100.0%)
215 (74.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
589(100.0%)
498 (45.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_1 [factor] 1. 0 
·
4(100.0%)
12 (75.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 2


All data

st_css() #IMPORTANT!
  secondarydiagnosis2 <- as.factor(d[,"secondarydiagnosis2"])
  
    new.d <- data.frame(new.d, secondarydiagnosis2)
    new.d <- apply_labels(new.d, secondarydiagnosis2 = "secondary_diagnosis_2")
    #summary(new.d$secondarydiagnosis2)
temp.d <- data.frame (new.d.1, secondarydiagnosis2)
summarytools::view(dfSummary(new.d$secondarydiagnosis2, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis2 [labelled, factor] secondary_diagnosis_2 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 [ 64 others ]
1(0.3%)
1(0.3%)
2(0.7%)
1(0.3%)
1(0.3%)
2(0.7%)
2(0.7%)
1(0.3%)
1(0.3%)
2(0.7%)
20(6.8%)
1(0.3%)
4(1.4%)
7(2.4%)
1(0.3%)
1(0.3%)
2(0.7%)
40(13.6%)
6(2.0%)
1(0.3%)
2(0.7%)
1(0.3%)
3(1.0%)
1(0.3%)
1(0.3%)
2(0.7%)
38(12.9%)
1(0.3%)
4(1.4%)
1(0.3%)
2(0.7%)
2(0.7%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
1(0.3%)
2(0.7%)
1(0.3%)
5(1.7%)
1(0.3%)
1(0.3%)
3(1.0%)
1(0.3%)
114(38.8%)
1873 (86.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 51. J479 
·
52. J841000 53. J954 
·
54. J984 
·
55. K219 
·
56. K409000 57. K429 
·
58. K429000 59. K611 
·
60. K660 
·
61. K7460 
·
62. K768900 63. K802000 64. K862 
·
65. K913 
·
66. L732000 67. M069 
·
68. M109 
·
69. M129 
·
70. M15 
·
71. M160 
·
72. M1990 
·
73. M513600 74. N138 
·
75. N139 
·
76. N186 
·
77. N189 
·
78. N281 
·
79. N289 
·
80. N390 
·
81. N393 
·
82. N3941 
·
83. N3943 
·
84. N40 
·
85. N40.0 
·
86. N400 
·
87. N40000 
·
88. N401 
·
89. N4010 
·
90. N4110 
·
91. N5201 
·
92. N5203 
·
93. N5231 
·
94. N528 
·
95. N529 
·
96. R001 
·
97. R030 
·
98. R060000 99. R1030 
·
100. R160000 101. R312 
·
102. R319 
·
103. R350 
·
104. R351 
·
105. R3510 
·
106. R3915 
·
107. R51 
·
108. R5383 
·
109. R590 
·
110. R972 
·
111. R9720 
·
112. Z8042 
·
113. Z86010 
·
114. Z87891 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 51. J479 
·
52. J841000 53. J954 
·
54. J984 
·
55. K219 
·
56. K409000 57. K429 
·
58. K429000 59. K611 
·
60. K660 
·
61. K7460 
·
62. K768900 63. K802000 64. K862 
·
65. K913 
·
66. L732000 67. M069 
·
68. M109 
·
69. M129 
·
70. M15 
·
71. M160 
·
72. M1990 
·
73. M513600 74. N138 
·
75. N139 
·
76. N186 
·
77. N189 
·
78. N281 
·
79. N289 
·
80. N390 
·
81. N393 
·
82. N3941 
·
83. N3943 
·
84. N40 
·
85. N40.0 
·
86. N400 
·
87. N40000 
·
88. N401 
·
89. N4010 
·
90. N4110 
·
91. N5201 
·
92. N5203 
·
93. N5231 
·
94. N528 
·
95. N529 
·
96. R001 
·
97. R030 
·
98. R060000 99. R1030 
·
100. R160000 101. R312 
·
102. R319 
·
103. R350 
·
104. R351 
·
105. R3510 
·
106. R3915 
·
107. R51 
·
108. R5383 
·
109. R590 
·
110. R972 
·
111. R9720 
·
112. Z8042 
·
113. Z86010 
·
114. Z87891 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 51. J479 
·
52. J841000 53. J954 
·
54. J984 
·
55. K219 
·
56. K409000 57. K429 
·
58. K429000 59. K611 
·
60. K660 
·
61. K7460 
·
62. K768900 63. K802000 64. K862 
·
65. K913 
·
66. L732000 67. M069 
·
68. M109 
·
69. M129 
·
70. M15 
·
71. M160 
·
72. M1990 
·
73. M513600 74. N138 
·
75. N139 
·
76. N186 
·
77. N189 
·
78. N281 
·
79. N289 
·
80. N390 
·
81. N393 
·
82. N3941 
·
83. N3943 
·
84. N40 
·
85. N40.0 
·
86. N400 
·
87. N40000 
·
88. N401 
·
89. N4010 
·
90. N4110 
·
91. N5201 
·
92. N5203 
·
93. N5231 
·
94. N528 
·
95. N529 
·
96. R001 
·
97. R030 
·
98. R060000 99. R1030 
·
100. R160000 101. R312 
·
102. R319 
·
103. R350 
·
104. R351 
·
105. R3510 
·
106. R3915 
·
107. R51 
·
108. R5383 
·
109. R590 
·
110. R972 
·
111. R9720 
·
112. Z8042 
·
113. Z86010 
·
114. Z87891 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 [ 64 others ]
0(0.0%)
0(0.0%)
1(2.2%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
5(10.9%)
0(0.0%)
1(2.2%)
2(4.3%)
0(0.0%)
0(0.0%)
0(0.0%)
4(8.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(4.3%)
0(0.0%)
0(0.0%)
0(0.0%)
3(6.5%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
1(2.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(4.3%)
0(0.0%)
19(41.3%)
128 (73.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 [ 64 others ]
1(1.1%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.1%)
1(1.1%)
0(0.0%)
0(0.0%)
2(2.1%)
6(6.4%)
1(1.1%)
2(2.1%)
2(2.1%)
0(0.0%)
0(0.0%)
1(1.1%)
16(17.0%)
3(3.2%)
1(1.1%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
16(17.0%)
1(1.1%)
3(3.2%)
0(0.0%)
0(0.0%)
1(1.1%)
1(1.1%)
0(0.0%)
1(1.1%)
0(0.0%)
0(0.0%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
29(30.9%)
196 (67.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 [ 64 others ]
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
9(5.8%)
0(0.0%)
1(0.6%)
3(1.9%)
1(0.6%)
1(0.6%)
1(0.6%)
20(13.0%)
3(1.9%)
0(0.0%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
2(1.3%)
19(12.3%)
0(0.0%)
1(0.6%)
1(0.6%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
1(0.6%)
0(0.0%)
0(0.0%)
2(1.3%)
1(0.6%)
4(2.6%)
1(0.6%)
1(0.6%)
1(0.6%)
1(0.6%)
66(42.9%)
933 (85.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_2 [factor] 1. A419 
·
2. B182000 3. B20 
·
4. E039 
·
5. E081000 6. E1122 
·
7. E1165 
·
8. E116500 9. E1169 
·
10. E118 
·
11. E119 
·
12. E119000 13. E669 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E782000 18. E785 
·
19. E785000 20. E835200 21. E876 
·
22. G40909 
·
23. G4733 
·
24. G560 
·
25. H40 
·
26. H409 
·
27. I10 
·
28. I1000 
·
29. I100000 30. I119 
·
31. I120 
·
32. I129 
·
33. I251 
·
34. I2510 
·
35. I251000 36. I252 
·
37. I341 
·
38. I5022 
·
39. I5042 
·
40. I509 
·
41. I700 
·
42. I739 
·
43. I82509 
·
44. I878 
·
45. J302 
·
46. J449 
·
47. J45 
·
48. J4590 
·
49. J45909 
·
50. J459090 51. J479 
·
52. J841000 53. J954 
·
54. J984 
·
55. K219 
·
56. K409000 57. K429 
·
58. K429000 59. K611 
·
60. K660 
·
61. K7460 
·
62. K768900 63. K802000 64. K862 
·
65. K913 
·
66. L732000 67. M069 
·
68. M109 
·
69. M129 
·
70. M15 
·
71. M160 
·
72. M1990 
·
73. M513600 74. N138 
·
75. N139 
·
76. N186 
·
77. N189 
·
78. N281 
·
79. N289 
·
80. N390 
·
81. N393 
·
82. N3941 
·
83. N3943 
·
84. N40 
·
85. N40.0 
·
86. N400 
·
87. N40000 
·
88. N401 
·
89. N4010 
·
90. N4110 
·
91. N5201 
·
92. N5203 
·
93. N5231 
·
94. N528 
·
95. N529 
·
96. R001 
·
97. R030 
·
98. R060000 99. R1030 
·
100. R160000 101. R312 
·
102. R319 
·
103. R350 
·
104. R351 
·
105. R3510 
·
106. R3915 
·
107. R51 
·
108. R5383 
·
109. R590 
·
110. R972 
·
111. R9720 
·
112. Z8042 
·
113. Z86010 
·
114. Z87891 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 3


All data

st_css() #IMPORTANT!
  secondarydiagnosis3 <- as.factor(d[,"secondarydiagnosis3"])
  
    new.d <- data.frame(new.d, secondarydiagnosis3)
    new.d <- apply_labels(new.d, secondarydiagnosis3 = "secondary_diagnosis_3")
    #summary(new.d$secondarydiagnosis3)
temp.d <- data.frame (new.d.1, secondarydiagnosis3)
summarytools::view(dfSummary(new.d$secondarydiagnosis3, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis3 [labelled, factor] secondary_diagnosis_3 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 [ 47 others ]
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
11(5.9%)
2(1.1%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
5(2.7%)
1(0.5%)
1(0.5%)
1(0.5%)
17(9.1%)
2(1.1%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
4(2.1%)
19(10.2%)
1(0.5%)
1(0.5%)
1(0.5%)
3(1.6%)
1(0.5%)
1(0.5%)
2(1.1%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
9(4.8%)
1(0.5%)
1(0.5%)
1(0.5%)
1(0.5%)
73(39.0%)
1980 (91.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 51. K5900 
·
52. K603 
·
53. L409 
·
54. M10 
·
55. M109 
·
56. M1990 
·
57. M199000 58. M47815 
·
59. M478160 60. M549 
·
61. N179 
·
62. N183 
·
63. N189 
·
64. N281 
·
65. N318 
·
66. N3941 
·
67. N40 
·
68. N400 
·
69. N401 
·
70. N4289 
·
71. N432 
·
72. N5201 
·
73. N529 
·
74. N9971 
·
75. N99842 
·
76. R05 
·
77. R200 
·
78. R3100 
·
79. R338 
·
80. R339 
·
81. R351 
·
82. R3915 
·
83. R5383 
·
84. R590 
·
85. R631 
·
86. R9431 
·
87. R972 
·
88. R9720 
·
89. Z6831 
·
90. Z801 
·
91. Z8546 
·
92. Z8673 
·
93. Z87891 
·
94. Z880 
·
95. Z955000 96. Z98890 
·
97. Z992 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 51. K5900 
·
52. K603 
·
53. L409 
·
54. M10 
·
55. M109 
·
56. M1990 
·
57. M199000 58. M47815 
·
59. M478160 60. M549 
·
61. N179 
·
62. N183 
·
63. N189 
·
64. N281 
·
65. N318 
·
66. N3941 
·
67. N40 
·
68. N400 
·
69. N401 
·
70. N4289 
·
71. N432 
·
72. N5201 
·
73. N529 
·
74. N9971 
·
75. N99842 
·
76. R05 
·
77. R200 
·
78. R3100 
·
79. R338 
·
80. R339 
·
81. R351 
·
82. R3915 
·
83. R5383 
·
84. R590 
·
85. R631 
·
86. R9431 
·
87. R972 
·
88. R9720 
·
89. Z6831 
·
90. Z801 
·
91. Z8546 
·
92. Z8673 
·
93. Z87891 
·
94. Z880 
·
95. Z955000 96. Z98890 
·
97. Z992 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 51. K5900 
·
52. K603 
·
53. L409 
·
54. M10 
·
55. M109 
·
56. M1990 
·
57. M199000 58. M47815 
·
59. M478160 60. M549 
·
61. N179 
·
62. N183 
·
63. N189 
·
64. N281 
·
65. N318 
·
66. N3941 
·
67. N40 
·
68. N400 
·
69. N401 
·
70. N4289 
·
71. N432 
·
72. N5201 
·
73. N529 
·
74. N9971 
·
75. N99842 
·
76. R05 
·
77. R200 
·
78. R3100 
·
79. R338 
·
80. R339 
·
81. R351 
·
82. R3915 
·
83. R5383 
·
84. R590 
·
85. R631 
·
86. R9431 
·
87. R972 
·
88. R9720 
·
89. Z6831 
·
90. Z801 
·
91. Z8546 
·
92. Z8673 
·
93. Z87891 
·
94. Z880 
·
95. Z955000 96. Z98890 
·
97. Z992 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 [ 47 others ]
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
1(2.7%)
0(0.0%)
0(0.0%)
5(13.5%)
0(0.0%)
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
2(5.4%)
5(13.5%)
0(0.0%)
0(0.0%)
1(2.7%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
14(37.8%)
137 (78.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 [ 47 others ]
0(0.0%)
0(0.0%)
0(0.0%)
1(1.9%)
1(1.9%)
5(9.4%)
1(1.9%)
0(0.0%)
0(0.0%)
1(1.9%)
0(0.0%)
1(1.9%)
1(1.9%)
1(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
6(11.3%)
2(3.8%)
0(0.0%)
0(0.0%)
1(1.9%)
0(0.0%)
1(1.9%)
0(0.0%)
0(0.0%)
2(3.8%)
1(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.9%)
0(0.0%)
1(1.9%)
0(0.0%)
0(0.0%)
1(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(1.9%)
0(0.0%)
0(0.0%)
0(0.0%)
4(7.5%)
0(0.0%)
1(1.9%)
0(0.0%)
0(0.0%)
19(35.8%)
237 (81.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 [ 47 others ]
0(0.0%)
1(1.0%)
1(1.0%)
0(0.0%)
0(0.0%)
6(6.2%)
1(1.0%)
1(1.0%)
1(1.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
3(3.1%)
0(0.0%)
1(1.0%)
1(1.0%)
6(6.2%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
2(2.1%)
12(12.4%)
0(0.0%)
1(1.0%)
0(0.0%)
1(1.0%)
0(0.0%)
1(1.0%)
1(1.0%)
1(1.0%)
1(1.0%)
0(0.0%)
1(1.0%)
0(0.0%)
1(1.0%)
0(0.0%)
0(0.0%)
1(1.0%)
1(1.0%)
1(1.0%)
5(5.2%)
0(0.0%)
0(0.0%)
1(1.0%)
1(1.0%)
40(41.2%)
990 (91.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_3 [factor] 1. B1710 
·
2. B182 
·
3. E039 
·
4. E039000 5. E1169 
·
6. E119 
·
7. E119000 8. E291 
·
9. E6601 
·
10. E663 
·
11. E669 
·
12. E669000 13. E78 
·
14. E780 
·
15. E7800 
·
16. E782 
·
17. E784 
·
18. E785 
·
19. E785000 20. E875 
·
21. E876 
·
22. G4730 
·
23. G4733 
·
24. G609000 25. G8929 
·
26. H409 
·
27. I10 
·
28. I100000 29. I1129 
·
30. I129 
·
31. I2510 
·
32. I495 
·
33. I50 
·
34. I509 
·
35. I700000 36. I709000 37. I739 
·
38. I7789 
·
39. I82401 
·
40. I898 
·
41. I959 
·
42. J302 
·
43. J449 
·
44. J45 
·
45. J984 
·
46. K219 
·
47. K4020 
·
48. K4090 
·
49. K429000 50. K579000 51. K5900 
·
52. K603 
·
53. L409 
·
54. M10 
·
55. M109 
·
56. M1990 
·
57. M199000 58. M47815 
·
59. M478160 60. M549 
·
61. N179 
·
62. N183 
·
63. N189 
·
64. N281 
·
65. N318 
·
66. N3941 
·
67. N40 
·
68. N400 
·
69. N401 
·
70. N4289 
·
71. N432 
·
72. N5201 
·
73. N529 
·
74. N9971 
·
75. N99842 
·
76. R05 
·
77. R200 
·
78. R3100 
·
79. R338 
·
80. R339 
·
81. R351 
·
82. R3915 
·
83. R5383 
·
84. R590 
·
85. R631 
·
86. R9431 
·
87. R972 
·
88. R9720 
·
89. Z6831 
·
90. Z801 
·
91. Z8546 
·
92. Z8673 
·
93. Z87891 
·
94. Z880 
·
95. Z955000 96. Z98890 
·
97. Z992 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 4


All data

st_css() #IMPORTANT!
  secondarydiagnosis4 <- as.factor(d[,"secondarydiagnosis4"])
  
    new.d <- data.frame(new.d, secondarydiagnosis4)
    new.d <- apply_labels(new.d, secondarydiagnosis4 = "secondary_diagnosis_4")
    #summary(new.d$secondarydiagnosis4)
temp.d <- data.frame (new.d.1, secondarydiagnosis4)
summarytools::view(dfSummary(new.d$secondarydiagnosis4, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis4 [labelled, factor] secondary_diagnosis_4 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
[ 22 others ]
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
6(5.2%)
1(0.9%)
1(0.9%)
2(1.7%)
1(0.9%)
3(2.6%)
9(7.8%)
1(0.9%)
1(0.9%)
1(0.9%)
2(1.7%)
2(1.7%)
1(0.9%)
10(8.7%)
1(0.9%)
2(1.7%)
1(0.9%)
2(1.7%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
2(1.7%)
5(4.3%)
1(0.9%)
1(0.9%)
2(1.7%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
3(2.6%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
1(0.9%)
2(1.7%)
27(23.5%)
2052 (94.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
51. N521 
·
52. N528 
·
53. R0781 
·
54. R140 
·
55. R312 
·
56. R350 
·
57. R351 
·
58. R52 
·
59. R634 
·
60. R6882 
·
61. R911 
·
62. R972 
·
63. R9720 
·
64. Z6822 
·
65. Z803 
·
66. Z853 
·
67. Z86010 
·
68. Z87891 
·
69. Z878910 70. Z91013 
·
71. Z95810 
·
72. Z992 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
51. N521 
·
52. N528 
·
53. R0781 
·
54. R140 
·
55. R312 
·
56. R350 
·
57. R351 
·
58. R52 
·
59. R634 
·
60. R6882 
·
61. R911 
·
62. R972 
·
63. R9720 
·
64. Z6822 
·
65. Z803 
·
66. Z853 
·
67. Z86010 
·
68. Z87891 
·
69. Z878910 70. Z91013 
·
71. Z95810 
·
72. Z992 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
51. N521 
·
52. N528 
·
53. R0781 
·
54. R140 
·
55. R312 
·
56. R350 
·
57. R351 
·
58. R52 
·
59. R634 
·
60. R6882 
·
61. R911 
·
62. R972 
·
63. R9720 
·
64. Z6822 
·
65. Z803 
·
66. Z853 
·
67. Z86010 
·
68. Z87891 
·
69. Z878910 70. Z91013 
·
71. Z95810 
·
72. Z992 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
[ 22 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.6%)
1(3.6%)
0(0.0%)
0(0.0%)
1(3.6%)
0(0.0%)
0(0.0%)
2(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.6%)
0(0.0%)
1(3.6%)
5(17.9%)
0(0.0%)
1(3.6%)
0(0.0%)
2(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.6%)
0(0.0%)
1(3.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.6%)
0(0.0%)
0(0.0%)
1(3.6%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.6%)
0(0.0%)
8(28.6%)
146 (83.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
[ 22 others ]
1(3.8%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.8%)
1(3.8%)
1(3.8%)
1(3.8%)
0(0.0%)
0(0.0%)
1(3.8%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.8%)
1(3.8%)
1(3.8%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(7.7%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.8%)
0(0.0%)
0(0.0%)
1(3.8%)
0(0.0%)
2(7.7%)
5(19.2%)
264 (91.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
[ 22 others ]
0(0.0%)
1(1.6%)
0(0.0%)
1(1.6%)
0(0.0%)
5(8.2%)
0(0.0%)
1(1.6%)
1(1.6%)
1(1.6%)
2(3.3%)
6(9.8%)
0(0.0%)
0(0.0%)
1(1.6%)
1(1.6%)
1(1.6%)
0(0.0%)
4(6.6%)
1(1.6%)
1(1.6%)
1(1.6%)
0(0.0%)
0(0.0%)
1(1.6%)
1(1.6%)
0(0.0%)
1(1.6%)
0(0.0%)
4(6.6%)
0(0.0%)
1(1.6%)
1(1.6%)
1(1.6%)
1(1.6%)
0(0.0%)
1(1.6%)
1(1.6%)
0(0.0%)
1(1.6%)
0(0.0%)
1(1.6%)
1(1.6%)
1(1.6%)
0(0.0%)
1(1.6%)
1(1.6%)
0(0.0%)
0(0.0%)
0(0.0%)
14(23.0%)
1026 (94.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_4 [factor] 1. B181 
·
2. E039 
·
3. E11321 
·
4. E1139 
·
5. E1169 
·
6. E119 
·
7. E119000 8. E559 
·
9. E669 
·
10. E780 
·
11. E782 
·
12. E785 
·
13. E7850 
·
14. E871 
·
15. G4700 
·
16. G4730 
·
17. G4733 
·
18. G8929 
·
19. I10 
·
20. I100000 21. I129 
·
22. I251 
·
23. I2510 
·
24. I639000 25. I723000 26. J3089 
·
27. J3489 
·
28. J45909 
·
29. J984 
·
30. K219 
·
31. K219000 32. K44900 
·
33. K660 
·
34. L2084 
·
35. M109 
·
36. M129 
·
37. M170 
·
38. M1712 
·
39. M1990 
·
40. M1A 
·
41. M25512 
·
42. M25669 
·
43. M478180 44. M5410 
·
45. M545000 46. N183 
·
47. N289 
·
48. N3289 
·
49. N40 
·
50. N401 
·
51. N521 
·
52. N528 
·
53. R0781 
·
54. R140 
·
55. R312 
·
56. R350 
·
57. R351 
·
58. R52 
·
59. R634 
·
60. R6882 
·
61. R911 
·
62. R972 
·
63. R9720 
·
64. Z6822 
·
65. Z803 
·
66. Z853 
·
67. Z86010 
·
68. Z87891 
·
69. Z878910 70. Z91013 
·
71. Z95810 
·
72. Z992 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 5


All data

st_css() #IMPORTANT!
  secondarydiagnosis5 <- as.factor(d[,"secondarydiagnosis5"])
  
    new.d <- data.frame(new.d, secondarydiagnosis5)
    new.d <- apply_labels(new.d, secondarydiagnosis5 = "secondary_diagnosis_5")
    #summary(new.d$secondarydiagnosis5)
temp.d <- data.frame (new.d.1, secondarydiagnosis5)
summarytools::view(dfSummary(new.d$secondarydiagnosis5, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis5 [labelled, factor] secondary_diagnosis_5 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
[ 2 others ]
1(1.4%)
1(1.4%)
1(1.4%)
2(2.9%)
2(2.9%)
3(4.3%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
3(4.3%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
3(4.3%)
4(5.7%)
1(1.4%)
3(4.3%)
1(1.4%)
2(2.9%)
1(1.4%)
1(1.4%)
2(2.9%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
3(4.3%)
2(2.9%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
1(1.4%)
2(2.9%)
2097 (96.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
51. Z951 
·
52. Z96643 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
51. Z951 
·
52. Z96643 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
51. Z951 
·
52. Z96643 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
[ 2 others ]
0(0.0%)
0(0.0%)
0(0.0%)
1(5.3%)
1(5.3%)
0(0.0%)
1(5.3%)
1(5.3%)
1(5.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.3%)
0(0.0%)
1(5.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.3%)
1(5.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.3%)
1(5.3%)
0(0.0%)
0(0.0%)
1(5.3%)
0(0.0%)
1(5.3%)
0(0.0%)
2(10.5%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(5.3%)
1(5.3%)
1(5.3%)
0(0.0%)
0(0.0%)
155 (89.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
[ 2 others ]
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.1%)
0(0.0%)
1(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.1%)
1(7.1%)
0(0.0%)
1(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.1%)
1(7.1%)
0(0.0%)
1(7.1%)
1(7.1%)
1(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(7.1%)
1(7.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
276 (95.2%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
[ 2 others ]
1(2.7%)
1(2.7%)
1(2.7%)
1(2.7%)
1(2.7%)
3(8.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
3(8.1%)
0(0.0%)
1(2.7%)
0(0.0%)
1(2.7%)
2(5.4%)
4(10.8%)
0(0.0%)
2(5.4%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
2(5.4%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
1(2.7%)
1(2.7%)
1(2.7%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(2.7%)
2(5.4%)
1050 (96.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_5 [factor] 1. B009 
·
2. E039 
·
3. E042 
·
4. E119 
·
5. E669 
·
6. E785 
·
7. G4730 
·
8. G629 
·
9. H3552 
·
10. I071 
·
11. I10 
·
12. I2510 
·
13. I252 
·
14. I420 
·
15. I739 
·
16. J309 
·
17. J449 
·
18. K219 
·
19. K219000 20. M109 
·
21. M19011 
·
22. M1990 
·
23. M25122 
·
24. M25561 
·
25. M478150 26. M480200 27. M542 
·
28. M549 
·
29. M7581 
·
30. N138 
·
31. N182 
·
32. N183 
·
33. N189 
·
34. N40 
·
35. N400 
·
36. N401 
·
37. N411 
·
38. R0602 
·
39. R300 
·
40. R350 
·
41. R351 
·
42. R739 
·
43. R740 
·
44. R809 
·
45. R972 
·
46. Z8042 
·
47. Z87891 
·
48. Z9079 
·
49. Z9221 
·
50. Z940 
·
51. Z951 
·
52. Z96643 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 6


All data

st_css() #IMPORTANT!
  secondarydiagnosis6 <- as.factor(d[,"secondarydiagnosis6"])
  
    new.d <- data.frame(new.d, secondarydiagnosis6)
    new.d <- apply_labels(new.d, secondarydiagnosis6 = "secondary_diagnosis_6")
    #summary(new.d$secondarydiagnosis6)
temp.d <- data.frame (new.d.1, secondarydiagnosis6)
summarytools::view(dfSummary(new.d$secondarydiagnosis6, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis6 [labelled, factor] secondary_diagnosis_6 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
2(4.2%)
1(2.1%)
2(4.2%)
3(6.2%)
1(2.1%)
1(2.1%)
2(4.2%)
5(10.4%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
2(4.2%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
1(2.1%)
3(6.2%)
1(2.1%)
1(2.1%)
2(4.2%)
1(2.1%)
2(4.2%)
1(2.1%)
2119 (97.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(9.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(9.1%)
0(0.0%)
0(0.0%)
1(9.1%)
0(0.0%)
0(0.0%)
1(9.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(9.1%)
0(0.0%)
0(0.0%)
1(9.1%)
2(18.2%)
1(9.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(9.1%)
1(9.1%)
163 (93.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
1(10.0%)
0(0.0%)
1(10.0%)
1(10.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(10.0%)
0(0.0%)
1(10.0%)
0(0.0%)
0(0.0%)
1(10.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(10.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(10.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
280 (96.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
0(0.0%)
1(3.7%)
0(0.0%)
0(0.0%)
1(3.7%)
1(3.7%)
2(7.4%)
3(11.1%)
0(0.0%)
1(3.7%)
2(7.4%)
3(11.1%)
1(3.7%)
0(0.0%)
0(0.0%)
1(3.7%)
1(3.7%)
1(3.7%)
1(3.7%)
1(3.7%)
1(3.7%)
0(0.0%)
1(3.7%)
0(0.0%)
1(3.7%)
0(0.0%)
0(0.0%)
1(3.7%)
0(0.0%)
1(3.7%)
0(0.0%)
1(3.7%)
1(3.7%)
0(0.0%)
1060 (97.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_6 [factor] 1. E041 
·
2. E1122 
·
3. E119 
·
4. E119000 5. E669 
·
6. E780 
·
7. E7800 
·
8. E785 
·
9. E875 
·
10. F328 
·
11. G4730 
·
12. I10 
·
13. I251 
·
14. I429 
·
15. I7090 
·
16. J45 
·
17. K219 
·
18. K3580 
·
19. M109 
·
20. M199 
·
21. M1990 
·
22. M545 
·
23. N136 
·
24. N189 
·
25. N40 
·
26. N419 
·
27. R339 
·
28. R351 
·
29. R599 
·
30. R9431 
·
31. R972 
·
32. Y658 
·
33. Z6837 
·
34. Z86718 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 7


All data

st_css() #IMPORTANT!
  secondarydiagnosis7 <- as.factor(d[,"secondarydiagnosis7"])
  
    new.d <- data.frame(new.d, secondarydiagnosis7)
    new.d <- apply_labels(new.d, secondarydiagnosis7 = "secondary_diagnosis_7")
    #summary(new.d$secondarydiagnosis7)
temp.d <- data.frame (new.d.1, secondarydiagnosis7)
summarytools::view(dfSummary(new.d$secondarydiagnosis7, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis7 [labelled, factor] secondary_diagnosis_7 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
1(3.3%)
2(6.7%)
1(3.3%)
1(3.3%)
2(6.7%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
2(6.7%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
1(3.3%)
2137 (98.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
167 (96.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(14.3%)
0(0.0%)
1(14.3%)
0(0.0%)
1(14.3%)
0(0.0%)
283 (97.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
1(6.2%)
1(6.2%)
0(0.0%)
1(6.2%)
2(12.5%)
1(6.2%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
1(6.2%)
0(0.0%)
1(6.2%)
0(0.0%)
1(6.2%)
0(0.0%)
1(6.2%)
0(0.0%)
1(6.2%)
0(0.0%)
0(0.0%)
1(6.2%)
1(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
1(6.2%)
1071 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_7 [factor] 1. E119 
·
2. E669 
·
3. E780 
·
4. E781 
·
5. E785 
·
6. E8352 
·
7. G473 
·
8. H409 
·
9. I2510 
·
10. I252000 11. I4891 
·
12. J189 
·
13. M069 
·
14. M791 
·
15. N400 
·
16. N401 
·
17. N5201 
·
18. N529 
·
19. R310 
·
20. R7303 
·
21. R740 
·
22. Y838 
·
23. Z6831 
·
24. Z8042 
·
25. Z86711 
·
26. Z885 
·
27. Z9049 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 8


All data

st_css() #IMPORTANT!
  secondarydiagnosis8 <- as.factor(d[,"secondarydiagnosis8"])
  
    new.d <- data.frame(new.d, secondarydiagnosis8)
    new.d <- apply_labels(new.d, secondarydiagnosis8 = "secondary_diagnosis_8")
    #summary(new.d$secondarydiagnosis8)
temp.d <- data.frame (new.d.1, secondarydiagnosis8)
summarytools::view(dfSummary(new.d$secondarydiagnosis8, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis8 [labelled, factor] secondary_diagnosis_8 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
1(6.2%)
2151 (99.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
0(0.0%)
0(0.0%)
0(0.0%)
1(16.7%)
1(16.7%)
0(0.0%)
0(0.0%)
1(16.7%)
0(0.0%)
1(16.7%)
1(16.7%)
0(0.0%)
0(0.0%)
1(16.7%)
0(0.0%)
0(0.0%)
168 (96.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
0(0.0%)
1(20.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
1(20.0%)
1(20.0%)
285 (98.3%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
1(20.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1082 (99.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_8 [factor] 1. E291 
·
2. E669000 3. E876 
·
4. G893 
·
5. I129 
·
6. I509 
·
7. I714 
·
8. J189 
·
9. N400 
·
10. R319 
·
11. R5383 
·
12. R791 
·
13. Z6833 
·
14. Z6836 
·
15. Z87891 
·
16. Z9079 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 9


All data

st_css() #IMPORTANT!
  secondarydiagnosis9 <- as.factor(d[,"secondarydiagnosis9"])
  
    new.d <- data.frame(new.d, secondarydiagnosis9)
    new.d <- apply_labels(new.d, secondarydiagnosis9 = "secondary_diagnosis_9")
    #summary(new.d$secondarydiagnosis9)
temp.d <- data.frame (new.d.1, secondarydiagnosis9)
summarytools::view(dfSummary(new.d$secondarydiagnosis9, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis9 [labelled, factor] secondary_diagnosis_9 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
2(16.7%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
1(8.3%)
2155 (99.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
2(40.0%)
1(20.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
1(20.0%)
0(0.0%)
0(0.0%)
0(0.0%)
169 (97.1%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
0(0.0%)
0(0.0%)
1(25.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(25.0%)
1(25.0%)
1(25.0%)
286 (98.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
0(0.0%)
0(0.0%)
0(0.0%)
1(33.3%)
0(0.0%)
1(33.3%)
1(33.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1084 (99.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_9 [factor] 1. E669 
·
2. I2510 
·
3. M109 
·
4. M1990 
·
5. N179 
·
6. N400 
·
7. N529 
·
8. R61 
·
9. Z683700 10. Z882 
·
11. Z9089 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


SECONDARY DIAGNOSIS 10


All data

st_css() #IMPORTANT!
  secondarydiagnosis10 <- as.factor(d[,"secondarydiagnosis10"])
  
    new.d <- data.frame(new.d, secondarydiagnosis10)
    new.d <- apply_labels(new.d, secondarydiagnosis10 = "secondary_diagnosis_10")
    #summary(new.d$secondarydiagnosis10)
temp.d <- data.frame (new.d.1, secondarydiagnosis10)
summarytools::view(dfSummary(new.d$secondarydiagnosis10, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 secondarydiagnosis10 [labelled, factor] secondary_diagnosis_10 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
1(16.7%)
1(16.7%)
1(16.7%)
1(16.7%)
1(16.7%)
1(16.7%)
2161 (99.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
173 (99.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
1(33.3%)
0(0.0%)
1(33.3%)
0(0.0%)
0(0.0%)
1(33.3%)
287 (99.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 secondary_diagnosis_10 [factor] 1. E039000 2. E785 
·
3. J329 
·
4. M25552 
·
5. N281 
·
6. Y836 
·
All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GLEASON PATTERNS CLINICAL


All data

st_css() #IMPORTANT!
  gleasonpatternsclinical <- as.factor(trimws(d[,"gleasonpatternsclinical"]))
  # THIS CODING NEEDS TO BE CONFIRMED
  levels(gleasonpatternsclinical) <- list(Primary_1_secondary_1.11="11",
                                          Primary_1_secondary_3.13="13",
                                          Primary_2_secondary_3.23="23",
                                          Primary_2_secondary_5.25="25",
                                          Primary_3_secondary_3.33="33",
                                          Primary_3_secondary_5.34="34",
                                          Primary_3_secondary_5.35="35", 
                                          Primary_3_secondary_unknown.39="39",
                                          Primary_4_secondary_3.43="43",
                                          Primary_4_secondary_4.44="44",
                                          Primary_4_secondary_5.45="45",
                                          Primary_5_secondary_3.53="53",
                                          Primary_5_secondary_4.54="54",
                                          Primary_5_secondary_5.55="55",
                                          No_needle_core_biopsy_TURP_performed.X7 = "X7",
                                          Not_documented.X9 = "X9"
                                          )
    new.d <- data.frame(new.d, gleasonpatternsclinical)
    new.d <- apply_labels(new.d, gleasonpatternsclinical = "Gleason primary and secondary patterns ")
    #summary(new.d$gleasonpatternsclinical)
temp.d <- data.frame (new.d.1, gleasonpatternsclinical)
summarytools::view(dfSummary(new.d$gleasonpatternsclinical, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gleasonpatternsclinical [labelled, factor] Gleason primary and secondary patterns 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unkno 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TUR 16. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(12.1%)
10(30.3%)
0(0.0%)
0(0.0%)
12(36.4%)
2(6.1%)
3(9.1%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.0%)
1(3.0%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unknown.39 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TURP_performed.X7 16. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unknown.39 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TURP_performed.X7 16. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unknown.39 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TURP_performed.X7 16. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unkno 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TUR 16. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(9.4%)
10(31.2%)
0(0.0%)
0(0.0%)
12(37.5%)
2(6.2%)
3(9.4%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.1%)
1(3.1%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unknown.39 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TURP_performed.X7 16. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unkno 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TUR 16. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_clinical [factor] 1. Primary_1_secondary_1.11 2. Primary_1_secondary_3.13 3. Primary_2_secondary_3.23 4. Primary_2_secondary_5.25 5. Primary_3_secondary_3.33 6. Primary_3_secondary_5.34 7. Primary_3_secondary_5.35 8. Primary_3_secondary_unknown.39 9. Primary_4_secondary_3.43 10. Primary_4_secondary_4.44 11. Primary_4_secondary_5.45 12. Primary_5_secondary_3.53 13. Primary_5_secondary_4.54 14. Primary_5_secondary_5.55 15. No_needle_core_biopsy_TURP_performed.X7 16. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GLEASON PATTERNS PATHOLOGICAL



All data

st_css() #IMPORTANT!
  gleasonpatternspathological <- as.factor(trimws(d[,"gleasonpatternspathological"]))
  levels(gleasonpatternspathological) <- list(Primary_1_secondary_4.14="14",
                                          Primary_1_secondary_5.15="15",
                                          Primary_3_secondary_3.33="33",
                                          Primary_3_secondary_5.34="34",
                                          Primary_3_secondary_5.35="35", 
                                          Primary_4_secondary_1.41="41",
                                          Primary_4_secondary_3.43="43",
                                          Primary_4_secondary_4.44="44",
                                          Primary_4_secondary_5.45="45",
                                          Primary_5_secondary_3.53="53",
                                          Primary_5_secondary_4.54="54",
                                          Primary_unknown_secondary_unknown.X6="X6",
                                          No_prostatectomy_autopsy_performed.X6= "X6",
                                          Not_documented.X9 = "X9"
                                          )
    new.d <- data.frame(new.d, gleasonpatternspathological)
    new.d <- apply_labels(new.d, gleasonpatternspathological = "Gleason primary and secondary patterns ")
    #summary(new.d$gleasonpatternspathological)
temp.d <- data.frame (new.d.1, gleasonpatternspathological)
summarytools::view(dfSummary(new.d$gleasonpatternspathological, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gleasonpatternspathological [labelled, factor] Gleason primary and secondary patterns 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary 13. No_prostatectomy_autopsy_ 14. Not_documented.X9
0(0.0%)
0(0.0%)
1(14.3%)
2(28.6%)
0(0.0%)
0(0.0%)
2(28.6%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2160 (99.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary_unknown.X6 13. No_prostatectomy_autopsy_performed.X6 14. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary_unknown.X6 13. No_prostatectomy_autopsy_performed.X6 14. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary_unknown.X6 13. No_prostatectomy_autopsy_performed.X6 14. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary 13. No_prostatectomy_autopsy_ 14. Not_documented.X9
0(0.0%)
0(0.0%)
1(14.3%)
2(28.6%)
0(0.0%)
0(0.0%)
2(28.6%)
1(14.3%)
1(14.3%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
167 (96.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary_unknown.X6 13. No_prostatectomy_autopsy_performed.X6 14. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary_unknown.X6 13. No_prostatectomy_autopsy_performed.X6 14. Not_documented.X9 All NA's 1087 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_patterns_pathologica [factor] 1. Primary_1_secondary_4.14 2. Primary_1_secondary_5.15 3. Primary_3_secondary_3.33 4. Primary_3_secondary_5.34 5. Primary_3_secondary_5.35 6. Primary_4_secondary_1.41 7. Primary_4_secondary_3.43 8. Primary_4_secondary_4.44 9. Primary_4_secondary_5.45 10. Primary_5_secondary_3.53 11. Primary_5_secondary_4.54 12. Primary_unknown_secondary_unknown.X6 13. No_prostatectomy_autopsy_performed.X6 14. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GLEASON SCORE CLINICAL



All data

st_css() #IMPORTANT!
  gleasonscoreclinical <- trimws(d[,"gleasonscoreclinical"])
  gleasonscoreclinical[ which(gleasonscoreclinical=="06")]<-"6"
  gleasonscoreclinical[ which(gleasonscoreclinical=="07")]<-"7"
  gleasonscoreclinical[ which(gleasonscoreclinical=="08")]<-"8"
  gleasonscoreclinical[ which(gleasonscoreclinical=="09")]<-"9"
  gleasonscoreclinical<-as.factor(gleasonscoreclinical)
  levels(gleasonscoreclinical) <- list(Gleason_score_2.2="2",
                                       Gleason_score_3.3="3",
                                       Gleason_score_4.4="4",
                                       Gleason_score_5.5="5",
                                       Gleason_score_6.6="6", 
                                       Gleason_score_7.7="7",
                                       Gleason_score_8.8="8",
                                       Gleason_score_9.9="9",
                                       Gleason_score_10.10="10",
                                       Not_documented.X9 = "X9")
    new.d <- data.frame(new.d, gleasonscoreclinical)
    new.d <- apply_labels(new.d, gleasonscoreclinical = " Gleason score")
    #summary(new.d$gleasonscoreclinical)
temp.d <- data.frame (new.d.1, gleasonscoreclinical)
summarytools::view(dfSummary(new.d$gleasonscoreclinical, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE , headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gleasonscoreclinical [labelled, factor] Gleason score 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(12.1%)
20(60.6%)
1(3.0%)
2(6.1%)
0(0.0%)
6(18.2%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
3(9.4%)
20(62.5%)
1(3.1%)
2(6.2%)
0(0.0%)
6(18.8%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_clinical [factor] 1. Gleason_score_2.2 2. Gleason_score_3.3 3. Gleason_score_4.4 4. Gleason_score_5.5 5. Gleason_score_6.6 6. Gleason_score_7.7 7. Gleason_score_8.8 8. Gleason_score_9.9 9. Gleason_score_10.10 10. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GLEASON SCORE PATHOLOGICAL



All data

st_css() #IMPORTANT!
  gleasonscorepathological <- as.factor(trimws(d[,"gleasonscorepathological"]))
  levels(gleasonscorepathological) <- list(Gleason_score_3.03 ="03",
                                       Gleason_score_4.04="04",
                                       Gleason_score_6.06="06", 
                                       Gleason_score_7.07="07",
                                       Gleason_score_8.08="08",
                                       Gleason_score_9.09="09",
                                       No_prostatectomy_done.X7="X7",
                                       Not_applicable.X8="X8",
                                       Not_documented.X9 = "X9")
    new.d <- data.frame(new.d, gleasonscorepathological)
    new.d <- apply_labels(new.d, gleasonscorepathological = " Gleason score")
    #summary(new.d$gleasonscorepathological)
temp.d <- data.frame (new.d.1, gleasonscorepathological)
summarytools::view(dfSummary(new.d$gleasonscorepathological, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gleasonscorepathological [labelled, factor] Gleason score 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9
0(0.0%)
0(0.0%)
1(3.0%)
4(12.1%)
0(0.0%)
1(3.0%)
21(63.6%)
0(0.0%)
6(18.2%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9
0(0.0%)
0(0.0%)
1(3.1%)
4(12.5%)
0(0.0%)
1(3.1%)
20(62.5%)
0(0.0%)
6(18.8%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_score_pathological [factor] 1. Gleason_score_3.03 2. Gleason_score_4.04 3. Gleason_score_6.06 4. Gleason_score_7.07 5. Gleason_score_8.08 6. Gleason_score_9.09 7. No_prostatectomy_done.X7 8. Not_applicable.X8 9. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GLEASON TERTIARY PATTERN



All data

st_css() #IMPORTANT!
  gleasontertiarypattern <- as.factor(trimws(d[,"gleasontertiarypattern"]))
  levels(gleasontertiarypattern) <- list(Tertiary_pattern_2.20="20",
                                         Tertiary_pattern_3.30="30",
                                         Tertiary_pattern_4.40="40", 
                                         Tertiary_pattern_5.50="50",
                                         No_prostatectomy_autopsy_performed.X7="X7",
                                         Not_applicable.X8="X8",
                                         Not_documented.X9 = "X9")
    new.d <- data.frame(new.d, gleasontertiarypattern)
    new.d <- apply_labels(new.d, gleasontertiarypattern = " Gleason score")
    #summary(new.d$gleasontertiarypattern)
temp.d <- data.frame (new.d.1, gleasontertiarypattern)
summarytools::view(dfSummary(new.d$gleasontertiarypattern, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gleasontertiarypattern [labelled, factor] Gleason score 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_ 6. Not_applicable.X8 7. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
21(63.6%)
0(0.0%)
12(36.4%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_performed.X7 6. Not_applicable.X8 7. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_performed.X7 6. Not_applicable.X8 7. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_performed.X7 6. Not_applicable.X8 7. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_ 6. Not_applicable.X8 7. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
20(62.5%)
0(0.0%)
12(37.5%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_performed.X7 6. Not_applicable.X8 7. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_ 6. Not_applicable.X8 7. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 gleason_tertiary_pattern [factor] 1. Tertiary_pattern_2.20 2. Tertiary_pattern_3.30 3. Tertiary_pattern_4.40 4. Tertiary_pattern_5.50 5. No_prostatectomy_autopsy_performed.X7 6. Not_applicable.X8 7. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GRADE CLINICAL



All data

st_css() #IMPORTANT!
  gradeclinical <- as.factor(trimws(d[,"gradeclinical"]))
  levels(gradeclinical) <- list(Grade_Group_1.1="1",
                                Grade_Group_2.2="2",
                                Grade_Group_3.3="3", 
                                Grade_Group_4.4="4",
                                Grade_Group_5.5="5",
                                Not_found_grade_8.8="8",
                                Unknown.9 = "9")
    new.d <- data.frame(new.d, gradeclinical)
    new.d <- apply_labels(new.d, gradeclinical = "Grade of primary tumor before any treatment")
    #summary(new.d$gradeclinical)
temp.d <- data.frame (new.d.1, gradeclinical)
summarytools::view(dfSummary(new.d$gradeclinical, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE , headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gradeclinical [labelled, factor] Grade of primary tumor before any treatment 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9
4(11.8%)
10(29.4%)
11(32.4%)
3(8.8%)
3(8.8%)
0(0.0%)
3(8.8%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_clinical [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_clinical [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_clinical [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9
3(9.4%)
10(31.2%)
11(34.4%)
3(9.4%)
3(9.4%)
0(0.0%)
2(6.2%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_clinical [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_clinical [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_clinical [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


GRADE PATHOLOGICAL



All data

st_css() #IMPORTANT!
  gradepathological <- as.factor(trimws(d[,"gradepathological"]))
  levels(gradepathological) <- list(Grade_Group_1.1="1",
                                Grade_Group_2.2="2",
                                Grade_Group_3.3="3", 
                                Grade_Group_4.4="4",
                                Grade_Group_5.5="5",
                                Not_found_grade_8.8="8",
                                Unknown.9 = "9")
    new.d <- data.frame(new.d, gradepathological)
    new.d <- apply_labels(new.d, gradepathological = "Grade of primary tumor before any treatment")
    #summary(new.d$gradepathological)
temp.d <- data.frame (new.d.1, gradepathological)
summarytools::view(dfSummary(new.d$gradepathological, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 gradepathological [labelled, factor] Grade of primary tumor before any treatment 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9
1(2.9%)
2(5.9%)
3(8.8%)
0(0.0%)
2(5.9%)
0(0.0%)
26(76.5%)
2133 (98.4%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_pathological [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_pathological [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_pathological [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9
1(3.1%)
2(6.2%)
2(6.2%)
0(0.0%)
2(6.2%)
0(0.0%)
25(78.1%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_pathological [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_pathological [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9
0(0.0%)
0(0.0%)
1(50.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(50.0%)
1085 (99.8%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 grade_pathological [factor] 1. Grade_Group_1.1 2. Grade_Group_2.2 3. Grade_Group_3.3 4. Grade_Group_4.4 5. Grade_Group_5.5 6. Not_found_grade_8.8 7. Unknown.9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


NUMBER OF CORES EXAMINED



All data

st_css() #IMPORTANT!
  numberofcoresexamined <- trimws(d[,"numberofcoresexamined"])
  numberofcoresexamined[ which(numberofcoresexamined=="09")]<-"9"
  numberofcoresexamined[ which(numberofcoresexamined=="08")]<-"8"
  numberofcoresexamined<-as.factor(numberofcoresexamined)
  levels(numberofcoresexamined) <- list(examined_1_core.1="1",
                                        examined_2_core.2="2",
                                        examined_3_core.3="3",
                                        examined_4_core.4="4",
                                        examined_5_core.5="5",
                                        examined_6_core.6="6",
                                        examined_7_core.7="7",
                                        examined_8_core.8="8",
                                        examined_9_core.9="9",
                                        examined_10_core.10="10",
                                        examined_11_core.11="11",
                                        examined_12_core.12="12",
                                        examined_13_core.13="13",
                                        examined_14_core.14="14",
                                        examined_15_core.15="15",
                                        examined_16_core.16="16",
                                        examined_17_core.17="17",
                                        examined_18_core.18="18",
                                        examined_19_core.19="19",
                                        examined_20_core.20="20",
                                        examined_22_core.22="22",
                                        examined_21_core.21="21",
                                        examined_23_core.23="23",
                                        examined_24_core.24="24",
                                        examined_25_core.25="25",
                                        examined_27_core.27="27",
                                        examined_29_core.29="29",
                                        examined_30_core.30="30",
                                        examined_31_core.31="31",
                                        examined_35_core.35="35",
                                        examined_36_core.36="36",
                                        examined_45_core.45="45",
                                        examined_91_core.91="91",
                                        examined_99_core.99="99",
                                        Biopsy_cores_examined_unknown_number.X6="X6",
                                        No_needle_core_biopsy_performed.X7 = "X7",
                                        Not_documented.X9 = "X9")
    new.d <- data.frame(new.d, numberofcoresexamined)
    new.d <- apply_labels(new.d, numberofcoresexamined = " Gleason score")
    #summary(new.d$numberofcoresexamined)
temp.d <- data.frame (new.d.1, numberofcoresexamined)
summarytools::view(dfSummary(new.d$numberofcoresexamined, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 numberofcoresexamined [labelled, factor] Gleason score 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unk 36. No_needle_core_biopsy_per 37. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
19(57.6%)
2(6.1%)
1(3.0%)
1(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.0%)
0(0.0%)
0(0.0%)
1(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(12.1%)
2(6.1%)
1(3.0%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unk 36. No_needle_core_biopsy_per 37. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.1%)
0(0.0%)
0(0.0%)
0(0.0%)
18(56.2%)
2(6.2%)
1(3.1%)
1(3.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(3.1%)
0(0.0%)
0(0.0%)
1(3.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
4(12.5%)
2(6.2%)
1(3.1%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unk 36. No_needle_core_biopsy_per 37. Not_documented.X9
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_examined [factor] 1. examined_1_core.1 2. examined_2_core.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


NUMBER OF CORES POSITIVE



All data

st_css() #IMPORTANT!
  numberofcorespositive <- trimws(d[,"numberofcorespositive"])
  numberofcorespositive[ which(numberofcorespositive=="02")]<-"2"
  numberofcorespositive[ which(numberofcorespositive=="04")]<-"4"
  numberofcorespositive[ which(numberofcorespositive=="05")]<-"5"
  numberofcorespositive[ which(numberofcorespositive=="01")]<-"1"
  numberofcorespositive[ which(numberofcorespositive=="07")]<-"7"
  numberofcorespositive[ which(numberofcorespositive=="09")]<-"9"
  numberofcorespositive[ which(numberofcorespositive=="08")]<-"8"
  numberofcorespositive[ which(numberofcorespositive=="03")]<-"3"
  numberofcorespositive<-as.factor(numberofcorespositive)
  levels(numberofcorespositive) <- list(examined_1_core.1="1",
                                        examined_2_cores.2="2",
                                        examined_3_core.3="3",
                                        examined_4_core.4="4",
                                        examined_5_core.5="5",
                                        examined_6_core.6="6",
                                        examined_7_core.7="7",
                                        examined_8_core.8="8",
                                        examined_9_core.9="9",
                                        examined_10_core.10="10",
                                        examined_11_core.11="11",
                                        examined_12_core.12="12",
                                        examined_13_core.13="13",
                                        examined_14_core.14="14",
                                        examined_15_core.15="15",
                                        examined_16_core.16="16",
                                        examined_17_core.17="17",
                                        examined_18_core.18="18",
                                        examined_19_core.19="19",
                                        examined_20_core.20="20",
                                        examined_22_core.22="22",
                                        examined_21_core.21="21",
                                        examined_23_core.23="23",
                                        examined_24_core.24="24",
                                        examined_25_core.25="25",
                                        examined_27_core.27="27",
                                        examined_29_core.29="29",
                                        examined_30_core.30="30",
                                        examined_31_core.31="31",
                                        examined_35_core.35="35",
                                        examined_36_core.36="36",
                                        examined_45_core.45="45",
                                        examined_91_core.91="91",
                                        examined_99_core.99="99",
                                        Biopsy_cores_examined_unknown_number.X6="X6",
                                        No_needle_core_biopsy_performed.X7 = "X7",
                                        Not_applicable.X8 = "X8",
                                        Not_documented.X9 = "X9")
    new.d <- data.frame(new.d, numberofcorespositive)
    new.d <- apply_labels(new.d, numberofcorespositive = " Gleason score")
    #summary(new.d$numberofcorespositive)
temp.d <- data.frame (new.d.1, numberofcorespositive)
summarytools::view(dfSummary(new.d$numberofcorespositive, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 numberofcorespositive [labelled, factor] Gleason score 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unk 36. No_needle_core_biopsy_per 37. Not_applicable.X8 38. Not_documented.X9
3(9.1%)
6(18.2%)
2(6.1%)
5(15.2%)
7(21.2%)
0(0.0%)
2(6.1%)
2(6.1%)
0(0.0%)
3(9.1%)
0(0.0%)
1(3.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(6.1%)
0(0.0%)
0(0.0%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_applicable.X8 38. Not_documented.X9 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_applicable.X8 38. Not_documented.X9 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_applicable.X8 38. Not_documented.X9 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unk 36. No_needle_core_biopsy_per 37. Not_applicable.X8 38. Not_documented.X9
3(9.4%)
5(15.6%)
2(6.2%)
5(15.6%)
7(21.9%)
0(0.0%)
2(6.2%)
2(6.2%)
0(0.0%)
3(9.4%)
0(0.0%)
1(3.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2(6.2%)
0(0.0%)
0(0.0%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_applicable.X8 38. Not_documented.X9 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unk 36. No_needle_core_biopsy_per 37. Not_applicable.X8 38. Not_documented.X9
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 number_of_cores_positive [factor] 1. examined_1_core.1 2. examined_2_cores.2 3. examined_3_core.3 4. examined_4_core.4 5. examined_5_core.5 6. examined_6_core.6 7. examined_7_core.7 8. examined_8_core.8 9. examined_9_core.9 10. examined_10_core.10 11. examined_11_core.11 12. examined_12_core.12 13. examined_13_core.13 14. examined_14_core.14 15. examined_15_core.15 16. examined_16_core.16 17. examined_17_core.17 18. examined_18_core.18 19. examined_19_core.19 20. examined_20_core.20 21. examined_22_core.22 22. examined_21_core.21 23. examined_23_core.23 24. examined_24_core.24 25. examined_25_core.25 26. examined_27_core.27 27. examined_29_core.29 28. examined_30_core.30 29. examined_31_core.31 30. examined_35_core.35 31. examined_36_core.36 32. examined_45_core.45 33. examined_91_core.91 34. examined_99_core.99 35. Biopsy_cores_examined_unknown_number.X6 36. No_needle_core_biopsy_performed.X7 37. Not_applicable.X8 38. Not_documented.X9 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


EOD PROSTATE PATHOLOGIC EXTENSION



All data

st_css() #IMPORTANT!
  prostatepathologicalextension <- as.factor(trimws(d[,"prostatepathologicalextension"]))
  levels(prostatepathologicalextension) <- list(T2.300="300",
                                T4_600.600="600",
                                TX_900.900="900", 
                                T3.500="500",
                                T3a.350="350",
                                T3b.400="400",
                                T4_700.700 = "700",
                                TX_950.950 = "950",
                                In_situ_88.0 = "0",
                                T0.800 = "800",
                                Not_found_250.250 = "250"
                                )
    new.d <- data.frame(new.d, prostatepathologicalextension)
    new.d <- apply_labels(new.d, prostatepathologicalextension = "Grade of primary tumor before any treatment")
    #summary(new.d$prostatepathologicalextension)
temp.d <- data.frame (new.d.1, prostatepathologicalextension)
summarytools::view(dfSummary(new.d$prostatepathologicalextension, style = 'grid', max.distinct.values = 50, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 prostatepathologicalextension [labelled, factor] Grade of primary tumor before any treatment 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250
5(15.2%)
0(0.0%)
26(78.8%)
0(0.0%)
2(6.1%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
2134 (98.5%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250 All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250 All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250 All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250
5(15.6%)
0(0.0%)
25(78.1%)
0(0.0%)
2(6.2%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
142 (81.6%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250 All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250
0(0.0%)
0(0.0%)
1(100.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
0(0.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 prostate_pathological_extension [factor] 1. T2.300 2. T4_600.600 3. TX_900.900 4. T3.500 5. T3a.350 6. T3b.400 7. T4_700.700 8. TX_950.950 9. In_situ_88.0 10. T0.800 11. Not_found_250.250 All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01


PSA (PROSTATIC SPECIFIC ANTIGEN) LAB VALUE



All data

st_css() #IMPORTANT!
  psalabvalue <- trimws(d[,"psalabvalue"])
  #psalabvalue[ which(psalabvalue=="XXX.1")]<-"10001"
  #psalabvalue[ which(psalabvalue=="XXX.7")]<-"10007"
  #psalabvalue[ which(psalabvalue=="XXX.9")]<-"10009"
  psalabvalue<-as.factor(psalabvalue)
  
  psalabvalue <- ifelse(psalabvalue=="XXX.9", NA,
                           ifelse(psalabvalue=="XXX.7", NA,
                                  ifelse(psalabvalue=="XXX.1", 1000, psalabvalue)))
  psalabvalue <- as.numeric(psalabvalue)
    
    new.d <- data.frame(new.d, psalabvalue)
    new.d <- apply_labels(new.d, psalabvalue = "PSA_lab_value")
    #summary(new.d$psalabvalue)
temp.d <- data.frame (new.d.1, psalabvalue)
summarytools::view(dfSummary(new.d$psalabvalue, style = 'grid', max.distinct.values = 1000, plain.ascii = FALSE, valid.col = FALSE, headings = FALSE ), method = "render")
No Variable Label Stats / Values Freqs (% of Valid) Graph Missing
1 psalabvalue [labelled, numeric] PSA_lab_value Mean (sd) : 47.7 (183.3) min < med < max: 1 < 15 < 1000 IQR (CV) : 12 (3.8)
1:1(3.4%)
2:1(3.4%)
3:1(3.4%)
4:1(3.4%)
5:1(3.4%)
6:1(3.4%)
7:1(3.4%)
8:1(3.4%)
9:1(3.4%)
10:1(3.4%)
11:1(3.4%)
12:1(3.4%)
13:1(3.4%)
14:1(3.4%)
15:2(6.9%)
16:1(3.4%)
17:2(6.9%)
18:1(3.4%)
19:1(3.4%)
20:1(3.4%)
21:1(3.4%)
22:1(3.4%)
23:1(3.4%)
24:1(3.4%)
25:1(3.4%)
26:1(3.4%)
1000:1(3.4%)
2138 (98.7%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

LA County

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] All NA's 189 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Northern CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] All NA's 174 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Greater CA

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] All NA's 237 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Detroit

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] Mean (sd) : 49 (186.5) min < med < max: 1 < 15 < 1000 IQR (CV) : 12.5 (3.8)
1:1(3.6%)
2:1(3.6%)
3:1(3.6%)
4:1(3.6%)
5:1(3.6%)
6:1(3.6%)
7:1(3.6%)
8:1(3.6%)
9:1(3.6%)
11:1(3.6%)
12:1(3.6%)
13:1(3.6%)
14:1(3.6%)
15:2(7.1%)
16:1(3.6%)
17:2(7.1%)
18:1(3.6%)
19:1(3.6%)
20:1(3.6%)
21:1(3.6%)
22:1(3.6%)
23:1(3.6%)
24:1(3.6%)
25:1(3.6%)
26:1(3.6%)
1000:1(3.6%)
146 (83.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Louisiana

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] All NA's 290 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Georgia

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] 1 distinct value
10:1(100.0%)
1086 (99.9%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01

Michigan

No Variable Stats / Values Freqs (% of Valid) Graph Missing
1 psa_lab_value [numeric] All NA's 16 (100.0%)

Generated by summarytools 0.9.8 (R version 4.0.3)
2021-04-01